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15 pages, 8364 KiB  
Article
Research on the Design and Bidirectional Work Process of Metal Diaphragms in Small Double-Pulse Solid Rocket Motors
by Xueqin Du, Weihua Hui, Youwen Tan, Wen Feng and Yang Liu
Aerospace 2024, 11(10), 848; https://doi.org/10.3390/aerospace11100848 - 15 Oct 2024
Viewed by 2829
Abstract
According to the requirements of the small double-pulse solid rocket motor, a compartmentalized isolation device has been designed. This device consists of a metal diaphragm and a support frame. An experimental study and numerical simulation were used to verify the bidirectional working process [...] Read more.
According to the requirements of the small double-pulse solid rocket motor, a compartmentalized isolation device has been designed. This device consists of a metal diaphragm and a support frame. An experimental study and numerical simulation were used to verify the bidirectional working process of the metal diaphragm during operation of the double-pulse motor. The results show that the pressure-bearing capacity of the metal diaphragm meets the requirements under the working conditions of pulse I without affecting pulse II, because the metal diaphragm can provide insulation and flame retardancy. The metal diaphragm can be cracked in the direction of the preset V-groove in a relatively short time under the working conditions of pulse II, which allows the gas to flow to the first pulse combustion chamber normally. This indicates that the metal diaphragm can meet the requirements of bidirectional working process in dual-pulse motors. Full article
(This article belongs to the Section Astronautics & Space Science)
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Figure 1

Figure 1
<p>The longitudinal section of the double-pulse motor.</p>
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<p>(<b>a</b>) The structure of the cross-support frame; (<b>b</b>) the metal diaphragm plate (pulse I view); (<b>c</b>) the dimensions of the V-grooves.</p>
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<p>(<b>a</b>) The mesh model; (<b>b</b>) the boundary condition; (<b>c</b>) the working load of the PSD.</p>
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<p>Von Mises stress contour plot of the metal diaphragm: (<b>a</b>) pulse I view; (<b>b</b>) pulse II view; (<b>c</b>) lateral view.</p>
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<p>Von Mises stress contour plot of the support frame.</p>
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<p>(<b>a</b>) The metal diaphragm; (<b>b</b>) the cross-type support frame after the experiment.</p>
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<p>Metal diaphragm after the experiment: (<b>a</b>) pulse I view; (<b>b</b>) pulse II view; (<b>c</b>) lateral view.</p>
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<p>Pressure profile during the operation of the pulse I motor.</p>
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<p>The uniaxial tensile stress–strain curve of a typical metal specimen [<a href="#B27-aerospace-11-00848" class="html-bibr">27</a>].</p>
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<p>(<b>a</b>) The mesh model; (<b>b</b>) the boundary condition; (<b>c</b>) the working load of the diaphragm.</p>
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<p>Von Mises stress contour plot of the metal diaphragm at six moments.</p>
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<p>Components of the motor after the experiment: (<b>a</b>) pulse II combustion chamber and separation device; (<b>b</b>) ignition apparatus; (<b>c</b>) support frame; (<b>d</b>) metal diaphragm.</p>
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<p>Metal diaphragm after the experiment: (<b>a</b>) slotted side; (<b>b</b>) smooth side; (<b>c</b>) lateral side; (<b>d</b>) deformation of the metal diaphragm.</p>
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<p>Pressure profile of pulse I and pulse II in the test.</p>
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<p>Double-pulse motor before the experiment.</p>
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<p>Working process of the pulse I motor.</p>
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<p>Working process of the pulse II motor.</p>
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<p>Components of the motor after the experiment: (<b>a</b>) the pulse II motor section; (<b>b</b>) the support frame; (<b>c</b>) the metal diaphragm.</p>
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<p>Pressure profile of the pulse I motor during operation.</p>
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<p>Pressure profile of the pulse II motor during operation.</p>
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16 pages, 4010 KiB  
Article
Localization for Dual Partial Discharge Sources in Transformer Oil Using Pressure-Balanced Fiber-Optic Ultrasonic Sensor Array
by Feng Liu, Yansheng Shi, Shuainan Zhang and Wei Wang
Sensors 2024, 24(14), 4450; https://doi.org/10.3390/s24144450 - 10 Jul 2024
Cited by 1 | Viewed by 1129
Abstract
The power transformer is one of the most crucial pieces of high-voltage equipment in the power system, and its stable operation is crucial to the reliability of power transmission. Partial discharge (PD) is a key factor leading to the degradation and failure of [...] Read more.
The power transformer is one of the most crucial pieces of high-voltage equipment in the power system, and its stable operation is crucial to the reliability of power transmission. Partial discharge (PD) is a key factor leading to the degradation and failure of the insulation performance of power transformers. Therefore, online monitoring of partial discharge can not only obtain real-time information on the operating status of the equipment but also effectively predict the remaining service life of the transformer. Meanwhile, accurate localization of partial discharge sources can assist maintenance personnel in developing more precise and efficient maintenance plans, ensuring the stable operation of the power system. Dual partial discharge sources in transformer oil represent a more complex fault type, and piezoelectric transducers installed outside the transformer oil tank often fail to accurately capture such discharge waveforms. Additionally, the sensitivity of the built-in F-P sensors can decrease when installed deep within the oil tank due to the influence of oil pressure on its sensing diaphragm, resulting in an inability to accurately detect dual partial discharge sources in transformer oil. To address the impact of oil pressure on sensor sensitivity and achieve the detection of dual partial discharge sources under high-voltage conditions in transformers, this paper proposes an optical fiber ultrasonic sensor with a pressure-balancing structure. This sensor can adapt to changes in oil pressure environments inside transformers, has strong electromagnetic interference resistance, and can be installed deep within the oil tank to detect dual partial discharge sources. In this study, a dual PD detection system based on this sensor array is developed, employing a cross-positioning algorithm to achieve detection and localization of dual partial discharge sources in transformer oil. When applied to a 35 kV single-phase transformer for dual partial discharge source detection in different regions, the sensor array exhibits good sensitivity under high oil pressure conditions, enabling the detection and localization of dual partial discharge sources in oil and winding interturn without obstruction. For fault regions with obstructions, such as within the oil channel of the transformer winding, the sensor exhibits the capability to detect the discharge waveform stemming from dual partial discharge sources. Overall, the sensor demonstrates good sensitivity and directional clarity, providing effective detection of dual PD sources generated inside transformers. Full article
(This article belongs to the Topic Advances in Non-Destructive Testing Methods, 2nd Edition)
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Figure 1
<p>Writing organization structure diagram.</p>
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<p>Structure of the dual PD detection system.</p>
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<p>Reflectivity curve of the inner surface of the quartz film after coating.</p>
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<p>Layout diagram for vertical sensitivity test of sensor.</p>
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<p>Vertical sensitivity decay curve of the sensor.</p>
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<p>Spatial structure diagram of sensor array.</p>
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<p>Schematic diagram of cross location for dual PD sources direction finding.</p>
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<p>Layout diagram for the localization experiment of dual PD sources in transformer oil.</p>
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<p>Aerial view of the layout of dual PD sources.</p>
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<p>Ultrasonic waveform of dual PD sources in transformer oil detected by the sensor.</p>
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<p>Ultrasonic waveform of dual PD sources after adding insulating pressboard.</p>
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<p>Physical diagram of transformer winding model.</p>
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<p>Layout diagram for the experiment of dual PD sources in transformer oil channel.</p>
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<p>Ultrasonic waveform of dual PD sources in transformer oil channel.</p>
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<p>Experiment on locating dual PD in transformer winding interturn.</p>
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<p>Ultrasonic waveform of dual PD sources in transformer winding interturn.</p>
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17 pages, 2961 KiB  
Article
A Novel MAO-B/SSAO Inhibitor Improves Multiple Aspects of Dystrophic Phenotype in mdx Mice
by Francesca Gasparella, Leonardo Nogara, Elena Germinario, Lucia Tibaudo, Stefano Ciciliot, Giorgia Piccoli, Francisca Carolina Venegas, Francesca Fontana, Gabriele Sales, Daniele Sabbatini, Jonathan Foot, Wolfgang Jarolimek, Bert Blaauw, Marcella Canton and Libero Vitiello
Antioxidants 2024, 13(6), 622; https://doi.org/10.3390/antiox13060622 - 21 May 2024
Viewed by 2071
Abstract
Duchenne muscular dystrophy (DMD) is one of the most frequent and severe childhood muscle diseases. Its pathophysiology is multifaceted and still incompletely understood, but we and others have previously shown that oxidative stress plays an important role. In particular, we have demonstrated that [...] Read more.
Duchenne muscular dystrophy (DMD) is one of the most frequent and severe childhood muscle diseases. Its pathophysiology is multifaceted and still incompletely understood, but we and others have previously shown that oxidative stress plays an important role. In particular, we have demonstrated that inhibition of mitochondrial monoamine oxidases could improve some functional and biohumoral markers of the pathology. In the present study we report the use of dystrophic mdx mice to evaluate the efficacy of a dual monoamine oxidase B (MAO-B)/semicarbazide-sensitive amine oxidase (SSAO) inhibitor, PXS-5131, in reducing inflammation and fibrosis and improving muscle function. We found that a one-month treatment starting at three months of age was able to decrease reactive oxygen species (ROS) production, fibrosis, and inflammatory infiltrate in the tibialis anterior (TA) and diaphragm muscles. Importantly, we also observed a marked improvement in the capacity of the gastrocnemius muscle to maintain its force when challenged with eccentric contractions. Upon performing a bulk RNA-seq analysis, PXS-5131 treatment affected the expression of genes involved in inflammatory processes and tissue remodeling. We also studied the effect of prolonged treatment in older dystrophic mice, and found that a three-month administration of PXS-5131 was able to greatly reduce the progression of fibrosis not only in the diaphragm but also in the heart. Taken together, these results suggest that PXS-5131 is an effective inhibitor of fibrosis and inflammation in dystrophic muscles, a finding that could open a new therapeutic avenue for DMD patients. Full article
(This article belongs to the Special Issue Antioxidants and Oxidative Stress: Implication in Muscle Diseases)
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Graphical abstract

Graphical abstract
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<p>(<b>A</b>) Molecular structure of PXS-5131. (<b>B</b>,<b>C</b>) DHE fluorescence quantification from tibialis anterior muscle sections and diaphragm muscle sections, respectively, in untreated (<span class="html-italic">mdx</span> NT, blue dots) and treated (<span class="html-italic">mdx</span>+PXS, green dots) mice. Each chart point represents the fluorescence measured in a single nucleus; statistical analysis was performed via nested <span class="html-italic">t</span>-test, considering the single muscles as independent biological replicates. n indicates number of animals; ns: not significant, * <span class="html-italic">p</span>-value &lt; 0.05.</p>
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<p>(<b>A</b>,<b>B</b>) Charts to the left show the quantification of neutrophils (expressed as Ly6G-positive pixels over total area) and macrophages (expressed as F4/80-positive pixels over total area) from diaphragm sections of untreated (<span class="html-italic">mdx</span> NT, blue dots) and treated (<span class="html-italic">mdx</span>+PXS, green dots) mice. Each chart point represents the output of a single microscopy field; statistical analysis was performed via nested t-test, considering the single muscles as independent biological replicates. n indicates number of animals; ** <span class="html-italic">p</span>-value &lt; 0.01, **** <span class="html-italic">p</span>-value &lt; 0.0001. Immunofluorescence images show examples of the antibody staining as seen in magnified areas of fields acquired from a control (center) and a treated animal (right). The scale bars correspond to 70 microns. (<b>C</b>) Quantification and representative images of Sirius red staining on diaphragm sections of 4-month-old <span class="html-italic">mdx</span> mice. Each chart point represents the measurement obtained from a whole tissue section; statistical analysis was performed via nested <span class="html-italic">t</span>-test, considering the single muscles as independent biological replicates. n indicates number of animals; **** <span class="html-italic">p</span>-value &lt; 0.0001. Brightfield images show magnified areas from a control (center) and a treated (right) animal. The scale bars correspond to 140 microns.</p>
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<p>(<b>A</b>) Left-hand chart shows the normalized force–frequency relationship in the plantar flexors in untreated (<span class="html-italic">mdx</span> NT, blue dots) and treated (<span class="html-italic">mdx</span>+PXS, green dots) mice. Each data point represents the average value for each frequency; statistical analysis was performed with an unpaired <span class="html-italic">t</span>-test for each frequency. Right-hand chart shows the details of the tetanic force measured with a stimulation at 100 Hz. As a reference, the force expressed by a set of aged-matching wild-type animals (WT, red dots) is also shown. Each data point represents the output of a single leg; statistical analysis was performed via unpaired <span class="html-italic">t</span>-test. n indicates number of animals; ns: not significant; * <span class="html-italic">p</span>-value &lt; 0.05, **** <span class="html-italic">p</span>-value &lt; 0.0001. (<b>B</b>) Left-hand chart shows the decline in force production after repeated eccentric contractions of the <span class="html-italic">plantar flexors</span>. Each data point represents the average value for each contraction; statistical analysis was performed with an unpaired <span class="html-italic">t</span>-test for each contraction. Right-hand chart shows the detailed relative force decline after 20 eccentric contractions. As a reference, the effect of the same experimental protocol in aged-matching wild-type animals is also shown. Each data point represents the output of a single leg; statistical analysis was performed via unpaired <span class="html-italic">t</span>-test. n indicates number of animals; ns: not significant; * <span class="html-italic">p</span>-value &lt; 0.05, ** <span class="html-italic">p</span>-value &lt; 0.01. (<b>C</b>) Force–frequency relationship measured ex vivo on diaphragm strips (three for each animal). Each data point represents the average value for each frequency; statistical analysis was performed via nested <span class="html-italic">t</span>-test, considering the single muscles as independent biological replicates. The maximum force measured in diaphragms from age-matched wild-type animals was between 18 and 20 N/g (not shown). (<b>D</b>) Creatine kinase (CK) concentrations assessed in the plasma of wild-type and untreated and treated <span class="html-italic">mdx</span> mice. The difference between treated and untreated mice did not reach statistical significance (<span class="html-italic">p</span> = 0.13). Each data point represents an animal; statistical analysis was performed via one-way ANOVA followed by Tukey’s multiple comparisons test. n indicates number of animals; ns: not significant; * <span class="html-italic">p</span>-value &lt; 0.05, *** <span class="html-italic">p</span>-value &lt; 0.001.</p>
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<p>(<b>A</b>) Heatmap showing Euclidean hierarchical clustering of Z-score normalized, log transformed gene expression of differentially regulated transcripts, comparing untreated <span class="html-italic">mdx</span> and wild-type mice (FDR &lt; 0.05). Chart shows the relative gene expression of untreated (K1 and K2) and treated (PXS1, PXS3, PXS4) <span class="html-italic">mdx</span> and wild-type (wt1, wt2, wt3) mice. (<b>B</b>) Heatmap showing Euclidean hierarchical clustering of Z-score normalized, log transformed gene expression of differentially regulated transcripts of untreated <span class="html-italic">mdx</span> vs. wild-type mice (FDR &lt; 0.05) as well as treated vs. untreated <span class="html-italic">mdx</span> mice (FDR &lt; 0.1). Chart shows the relative gene expression of untreated (K1 and K2) and treated (PXS1, PXS3, PXS4) <span class="html-italic">mdx</span> and wild-type (wt1, wt2, wt3) mice. (<b>C</b>) Metascape analysis of C2 cluster from panel B; bar graph shows enriched terms in the genes exhibiting a down-regulation after treatment with PXS-5131. (<b>D</b>) Metascape analysis of C3 cluster from panel B; bar graph shows enriched terms in the genes exhibiting a down-regulation after treatment with PXS-5131. (<b>E</b>) Results of real-time PCR analysis of <span class="html-italic">Spp1</span> transcript levels in gastrocnemius muscles from treated (green dots) and untreated (blue dots) <span class="html-italic">mdx</span> mice (n = 5–7) and wild-type animals (red dots; n = 3). Statistical analysis was performed via one-way ANOVA on log-transformed values, followed by Tukey’s multiple comparisons test. n indicates number of animals; * <span class="html-italic">p</span>-value &lt; 0.05, *** <span class="html-italic">p</span>-value &lt; 0.001.</p>
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<p>Quantification of fibrosis from diaphragm muscle sections (<b>A</b>) and heart sections (<b>B</b>) in 6-, 9-, and 12-month-old untreated and treated <span class="html-italic">mdx</span> mice. Both muscles had been stained with Sirius red. Animals were treated starting at age 6 months. Each data point represents the measurement obtained from a whole tissue section; statistical analysis was performed via nested t-test, considering the single muscles as independent biological replicates. n indicates number of animals; * <span class="html-italic">p</span>-value &lt; 0.05, ** <span class="html-italic">p</span>-value &lt; 0.01, **** <span class="html-italic">p</span>-value &lt; 0.0001.</p>
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10 pages, 1795 KiB  
Article
Cardioprotection and Suppression of Fibrosis by Diverse Cancer and Non-Cancer Cell Lines in a Murine Model of Duchenne Muscular Dystrophy
by Laris Achlaug, Irina Langier Goncalves and Ami Aronheim
Int. J. Mol. Sci. 2024, 25(8), 4273; https://doi.org/10.3390/ijms25084273 - 12 Apr 2024
Viewed by 1583
Abstract
The dynamic relationship between heart failure and cancer poses a dual challenge. While cardiac remodeling can promote cancer growth and metastasis, tumor development can ameliorate cardiac dysfunction and suppress fibrosis. However, the precise mechanism through which cancer influences the heart and fibrosis is [...] Read more.
The dynamic relationship between heart failure and cancer poses a dual challenge. While cardiac remodeling can promote cancer growth and metastasis, tumor development can ameliorate cardiac dysfunction and suppress fibrosis. However, the precise mechanism through which cancer influences the heart and fibrosis is yet to be uncovered. To further explore the interaction between heart failure and cancer, we used the MDX mouse model, which suffers from cardiac fibrosis and cardiac dysfunction. A previous study from our lab demonstrated that tumor growth improves cardiac dysfunction and dampens fibrosis in the heart and diaphragm muscles of MDX mice. We used breast Polyoma middle T (PyMT) and Lewis lung carcinoma (LLC) cancer cell lines that developed into large tumors. To explore whether the aggressiveness of the cancer cell line is crucial for the beneficial phenotype, we employed a PyMT breast cancer cell line lacking integrin β1, representing a less aggressive cell line compared to the original PyMT cells. In addition, we examined immortalized and primary MEF cells. The injection of integrin β1 KO PyMT cancer cells and Mouse Embryo Fibroblasts cells (MEF) resulted in the improvement of cardiac function and decreased fibrosis in the heart, diaphragm, and skeletal muscles of MDX mice. Collectively, our data demonstrate that the cancer line aggressiveness as well as primary MEF cells are sufficient to impose the beneficial phenotype. These discoveries present potential novel clinical therapeutic approaches with beneficial outcome for patients with fibrotic diseases and cardiac dysfunction that do not require tumor growth. Full article
(This article belongs to the Special Issue Advances in Cardiovascular Remodeling)
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<p>Injection of less aggressive PyMT ITGB1 KO cells and non-cancerous MEF<sup>I</sup> and MEF<sup>P</sup> cells resulted in a significant improvement of cardiac contractile function in MDX mice. (<b>A</b>) Schematic representation of the experimental timeline. MDX male mice (5 months old) were injected in the flanks with PyMT ITGB1 KO (red), MEF<sup>P</sup> (blue), or MEF<sup>P</sup> (green) cells (10<sup>6</sup> cells per mouse) or left non-injected (MDX) (black). Echocardiography (US) was performed 14 days after injection. (<b>B</b>) The measured fractional shortening (FS) of control MDX and injected MDX mice group (ITGB1 KO, MEF<sup>P</sup>, and MEF<sup>I</sup>). FS was assessed by echocardiography and calculated using the formula: FS (%) = [(LVDd − LVDs)/LVDd]. (<b>C</b>) Percent of interstitial fibrosis of all injected groups of MDX mice compared with control MDX mice, quantified using ImageJ 1.53t software, based on at least five fields from each mouse in each cohort. Data are presented as mean ± SE. One-way ANOVA followed by Tukey post-test (<b>B</b>,<b>C</b>). * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; **** <span class="html-italic">p</span> &lt; 0.0001. Each dot represents one mouse.</p>
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<p>Injection of less aggressive PyMT ITGB1 KO cells and non-cancerous MEF<sup>I</sup> and MEF<sup>P</sup> cells led to a reduction in the expression of fibrosis hallmark gene markers in the hearts of MDX mice. (<b>A</b>–<b>C</b>) qRT-PCR measuring transcription mRNA levels of fibrosis hallmark gene markers in the hearts of MDX mice injected with (<b>A</b>) PyMT ITGB1 KO, (<b>B</b>) MEF<sup>I</sup>, and (<b>C</b>) MEF<sup>P</sup>, as compared with control MDX. Data are presented as mean ± SE. One-way ANOVA followed by Tukey post-test (<b>A</b>–<b>C</b>). * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001. Each dot represents one mouse.</p>
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<p>Injection of less aggressive cancer cell line PyMT ITGB1 KO cells and non-cancerous MEF<sup>I</sup> and MEF<sup>P</sup> cells induces the expression of M2-polarizing hallmark gene markers in the hearts of MDX mice. (<b>A</b>–<b>F</b>) qRT-PCR measures the transcription levels of macrophage hallmark gene markers in the hearts of injected MDX mice as compared with control MDX (<b>A</b>–<b>C</b>) mRNA levels of different M2 macrophage markers: <span class="html-italic">IL13, GCSF, CCL2, CD163, and ARG1</span>, (<b>D</b>–<b>F</b>) mRNA levels of different M1 macrophage markers: <span class="html-italic">IL1, TNFα, INFγ and GPR18</span>. Measurements were obtained using qRT-PCR, normalized to the housekeeping gene mB2M. The results are presented as mean ± SE, one-way ANOVA followed by Tukey post-test * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001. Each dot represents one mouse.</p>
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<p>M2 polarizing cytokines IL-13 is elevated in the serum of injected mice (PyMT ITGB1 KO, MEF<sup>I</sup>, and MEF<sup>P</sup>) compared with control MDX mice. Serum levels are obtained by ELISA for IL-13. Pooled blood sera of control MDX (<span class="html-italic">n</span> = 3 each), tumor-bearing (ITGB1 KO) MDX mice (<span class="html-italic">n</span> = 4), MEF<sup>I</sup>-injected MDX mice (<span class="html-italic">n</span> = 3) and MEF<sup>P</sup>-injected MDX mice (<span class="html-italic">n</span> = 4) were used. The results are presented as mean ± SE. One-way ANOVA followed by Tukey post-test. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Graphical abstract summarizing the conclusions of this study. Tumor progression is not necessary for the beneficial phenotype and reduced fibrosis in the cardiac, skeletal, and diaphragm muscles. These effects are attributed, at least in part, to the M2 macrophage switch.</p>
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12 pages, 2738 KiB  
Article
Tumor Growth Ameliorates Cardiac Dysfunction and Suppresses Fibrosis in a Mouse Model for Duchenne Muscular Dystrophy
by Laris Achlaug, Lama Awwad, Irina Langier Goncalves, Tomer Goldenberg and Ami Aronheim
Int. J. Mol. Sci. 2023, 24(16), 12595; https://doi.org/10.3390/ijms241612595 - 9 Aug 2023
Cited by 4 | Viewed by 1880
Abstract
The interplay between heart failure and cancer represents a double-edged sword. Whereas cardiac remodeling promotes cancer progression, tumor growth suppresses cardiac hypertrophy and reduces fibrosis deposition. Whether these two opposing interactions are connected awaits to be determined. In addition, it is not known [...] Read more.
The interplay between heart failure and cancer represents a double-edged sword. Whereas cardiac remodeling promotes cancer progression, tumor growth suppresses cardiac hypertrophy and reduces fibrosis deposition. Whether these two opposing interactions are connected awaits to be determined. In addition, it is not known whether cancer affects solely the heart, or if other organs are affected as well. To explore the dual interaction between heart failure and cancer, we studied the human genetic disease Duchenne Muscular Dystrophy (DMD) using the MDX mouse model. We analyzed fibrosis and cardiac function as well as molecular parameters by multiple methods in the heart, diaphragm, lungs, skeletal muscles, and tumors derived from MDX and control mice. Surprisingly, cardiac dysfunction in MDX mice failed to promote murine cancer cell growth. In contrast, tumor-bearing MDX mice displayed reduced fibrosis in the heart and skeletal and diaphragm muscles, resulting in improved cardiac function. The latter is at least partially mediated via M2 macrophage recruitment to the heart and diaphragm muscles. Collectively, our data support the notion that the effect of heart failure on tumor promotion is independent of the improved cardiac function in tumor-bearing mice. Reduced fibrosis in tumor-bearing MDX mice stems from the suppression of new fibrosis synthesis and the removal of existing fibrosis. These findings offer potential therapeutic strategies for DMD patients, fibrotic diseases, and cardiac dysfunction. Full article
(This article belongs to the Special Issue New Trends in Diabetes, Hypertension and Cardiovascular Diseases)
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Figure 1
<p>Cardiac dysfunction fails to promote tumor growth, but tumor growth is accompanied by improved cardiac contractile function. (<b>A</b>) Schematic representation of the experimental timeline. C57Bl/10 and MDX male mice (6 months old) were injected in the flanks with PyMT cells (10<sup>6</sup> cells per mouse) or left untreated (control). Echocardiography (US) was performed 8 days prior to sacrifice. (<b>B</b>) The measured fractional shortening (FS) in C57Bl/10 (B10), MDX, and tumor-bearing mouse groups (B10+C and MDX+C). FS was assessed by echocardiography and calculated using the formula: FS (%) = [(LVDd- LVDs)/LVDd]. (<b>C</b>) Tumor volume (width<sup>2</sup> × length × 0.5) was monitored over time in tumor-bearing C57Bl/10 and MDX mice (<b>D</b>) Tumor weight at the endpoint in C57Bl/10 and MDX mice cohorts. (<b>E</b>) Ventricular weight to body weight ratio (VW/BW). Data are presented as mean ± SE. One-way ANOVA followed by Tukey post-test (<b>B</b>,<b>E</b>); two-way ANOVA with Bonferroni repeated measure (<b>C</b>) or Student’s <span class="html-italic">t</span>-test (<b>D</b>). **** <span class="html-italic">p</span> &lt; 0.0001. Each dot represents one mouse.</p>
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<p>Tumor growth suppresses fibrosis hallmark gene markers transcription in MDX mice. (<b>A</b>,<b>B</b>) Left panel: Representative image of heart (<b>A</b>) and diaphragm (<b>B</b>) sections of B10, (left), MDX mouse (middle) and tumor-bearing MDX mouse (right) stained for Masson’s trichrome. Scale bar: 500 µm (top) and 50 µm (bottom). Right panel: Percent of interstitial fibrosis, quantified using ImageJ software, based on at least five fields from each individual mouse in each cohort (<span class="html-italic">n</span> = 5). (<b>C</b>–<b>E</b>) Transcription levels of fibrosis hallmark gene markers CTGF, αSMA, TIMP, ACTA2, TGFβ3, Col1α1, and FN (in skeletal muscles) in the heart (<b>C</b>), diaphragm (<b>D</b>), and skeletal muscles (<b>E</b>) of non-tumor-bearing and tumor-bearing MDX mice, measured using qRT-PCR normalized to Hsp90 (heart) mb2m (diaphragms and skeletal muscles). (<b>F</b>) Transcription levels of fibrosis hallmark gene markers CTGF, αSMA, TIMP, ACTA2, and Col1α1 in the tumors of C57Bl/10 and MDX mice, measured using qRT-PCR normalized to β-actin. Data are presented as the relative expression compared to C57/Bl/10 mice (determined as 1) in the hearts, diaphragms, and tumors and compared to MDX (determined as 1) in skeletal muscles. Results are presented as mean ± SE; one-way repeated measures ANOVA followed by Tukey posttests (<b>A</b>–<b>D</b>) or Student’s <span class="html-italic">t</span>-test (<b>E</b>,<b>F</b>). * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001. Each dot represents one mouse.</p>
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<p>Tumor growth in MDX mice induces the expression of M2-polarizing hallmark gene markers. (<b>A</b>–<b>D</b>) qRT-PCR measuring transcription levels of macrophage hallmark gene markers in the tumors as compared with C57Bl/10 (<b>A</b>) in the hearts (<b>B</b>), diaphragm muscles (<b>C</b>), and spleens (<b>D</b>). Gene expression compares non-tumor-bearing and PyMT-tumor-bearing MDX male mice (same experimental cohort as in <a href="#ijms-24-12595-f001" class="html-fig">Figure 1</a>). Measurements were obtained using qRT-PCR, normalized to housekeeping gene Hsp90. Results are presented as mean ± SE, Student’s <span class="html-italic">t</span>-test. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01. Each dot represents one mouse.</p>
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<p>Tumor growth in MDX mice induces significant macrophage recruitment. (<b>A</b>,<b>B</b>) FACS analysis of total macrophage population in the hearts of naïve (n = 3) (<b>A</b>) and tumor-bearing (n = 5) MDX mice (<b>B</b>). These data are shown as the macrophages (%) F480+, CD64+ in (<b>C</b>). Additional analysis of M2 macrophage population CD64+CD206 in the hearts (<b>D</b>,<b>E</b>) and the quantification of % macrophages in each group (<b>F</b>). Results are presented as mean ± SEM, Student’s <span class="html-italic">t</span>-test. ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>M2 polarizing cytokines G-CSF and IL-13 are elevated in the serum of PyMT-bearing compared with non-tumor-bearing MDX mice. Serum levels as in (<b>A</b>), obtained by ELISA for G-CSF and (<b>B</b>) IL-13. Pooled blood serum of MDX (n = 5 each) and PyMT-bearing MDX mice (n = 5) was used. Results are presented as mean ± SE, Student’s <span class="html-italic">t</span>-test. ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Graphical abstract describing the manuscript’s main findings. Tumor growth reduces fibrosis in the heart and diaphragm muscles and ameliorates cardiac contractile function. This occurs at least partially via M2 macrophage recruitment.</p>
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12 pages, 4662 KiB  
Article
Prototype Optical Bionic Microphone with a Dual-Channel Mach–Zehnder Interferometric Transducer
by Xin Liu, Chen Cai, Kangning Ji, Xinyu Hu, Linsen Xiong and Zhi-mei Qi
Sensors 2023, 23(9), 4416; https://doi.org/10.3390/s23094416 - 30 Apr 2023
Cited by 2 | Viewed by 1898
Abstract
A prototype optical bionic microphone with a dual-channel Mach–Zehnder interferometric (MZI) transducer was designed and prepared for the first time using a silicon diaphragm made by microelectromechanical system (MEMS) technology. The MEMS diaphragm mimicked the structure of the fly Ormia Ochracea’s coupling eardrum, [...] Read more.
A prototype optical bionic microphone with a dual-channel Mach–Zehnder interferometric (MZI) transducer was designed and prepared for the first time using a silicon diaphragm made by microelectromechanical system (MEMS) technology. The MEMS diaphragm mimicked the structure of the fly Ormia Ochracea’s coupling eardrum, consisting of two square wings connected through a neck that is anchored via the two torsional beams to the silicon pedestal. The vibrational displacement of each wing at its distal edge relative to the silicon pedestal is detected with one channel of the dual-channel MZI transducer. The diaphragm at rest is coplanar with the silicon pedestal, resulting in an initial phase difference of zero for each channel of the dual-channel MZI transducer and consequently offering the microphone strong temperature robustness. The two channels of the prototype microphone show good consistency in their responses to incident sound signals; they have the rocking and bending resonance frequencies of 482 Hz and 1911 Hz, and their pressure sensitivities at a lower frequency exhibit an “8”-shaped directional dependence. The comparison indicates that the dual-channel MZI transducer-based bionic microphone proposed in this work is advantageous over the Fabry–Perot interferometric transducer-based counterparts extensively reported. Full article
(This article belongs to the Section Optical Sensors)
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<p>Schematic illustration of detection principle of the MZI-based prototype optical bionic microphone: (<b>a</b>) the bionic MEMS diaphragm designed in this work; (<b>b</b>,<b>c</b>) MZI designed for detecting the displacement at the distal edge of the bionic diaphragm ((<b>b</b>,<b>c</b>): without and with sound excitation).</p>
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<p>Simulation results for the bionic MEMS silicon diaphragm: (<b>a</b>) simulation model; (<b>b</b>) rocking and bending modes of the diaphragm; (<b>c</b>) frequency response curve; (<b>d</b>) the “8”-shaped directional dependence of the displacement at the distal edge of the diaphragm obtained at the sound frequency of 820 Hz and the sound pressure of 1 Pa.</p>
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<p>MEMS process for fabricating the bionic diaphragm on SOI substrate.</p>
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<p>SEM images of the bionic MEMS diaphragm fabricated in laboratory.</p>
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<p>The dual-channel MZI based prototype optical bionic microphone, (<b>a</b>) Schematic diagram of the prototype optical bionic microphone; (<b>b</b>) Photograph of the actual prototype microphone (the experimental system for frequency response measurement is also schematically shown).</p>
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<p>The dual-channel MZI based prototype optical bionic microphone, (<b>a</b>) Schematic diagram of the prototype optical bionic microphone; (<b>b</b>) Photograph of the actual prototype microphone (the experimental system for frequency response measurement is also schematically shown).</p>
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<p>Experimental setup for measuring the directional response of the MZI-based prototype optical bionic microphone in the anechoic room.</p>
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<p>Normalized frequency response for both MZI channels (CH1 and CH2) of the prototype optical bionic microphone.</p>
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<p>Measured temporal responses for both MZI channels of the prototype optical bionic microphone and the corresponding response amplitudes in frequency domain obtained by FFT processing of the temporal response data: (<b>a</b>) the incident sound at the rocking-mode resonance frequency (482 Hz); (<b>b</b>) at the bending-mode resonance frequency (1911 Hz).</p>
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<p>Directional responses to a sound wave at the rocking-mode frequency measured with both MZI channels (CH1 and CH2) of the prototype microphone: (<b>a</b>) the “8” patterns in the polar coordinate system; (<b>b</b>) the sinusoidal curves in the Cartesian coordinate system.</p>
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19 pages, 9925 KiB  
Article
Exploring High-Precision Non-Assembly Mechanisms: Design of a Vitrectome Mechanism for Eye Surgery
by Kirsten Lussenburg, Marta Scali, Maarten Stolk, Daisy Robijns, Aimée Sakes and Paul Breedveld
Materials 2023, 16(5), 1772; https://doi.org/10.3390/ma16051772 - 21 Feb 2023
Cited by 1 | Viewed by 2419
Abstract
A vitrectome is a commonly used instrument in eye surgery, which is used to cut and aspirate the vitreous body out of the eye. The mechanism of the vitrectome consists of miniature components that need to be assembled by hand due to their [...] Read more.
A vitrectome is a commonly used instrument in eye surgery, which is used to cut and aspirate the vitreous body out of the eye. The mechanism of the vitrectome consists of miniature components that need to be assembled by hand due to their size. Non-assembly 3D printing, in which fully functional mechanisms can be produced in a single production step, can help create a more streamlined production process. We propose a vitrectome design based on a dual-diaphragm mechanism, which can be produced with minimal assembly steps using PolyJet printing. Two different diaphragm designs were tested to fulfill the requirements of the mechanism: a homogenous design based on ‘digital’ materials and a design using an ortho-planar spring. Both designs were able to fulfill the required displacement for the mechanism of 0.8 mm, as well as cutting forces of at least 8 N. The requirements for the cutting speed of the mechanism of 8000 RPM were not fulfilled by both designs, since the viscoelastic nature of the PolyJet materials resulted in a slow response time. The proposed mechanism does show promise to be used in vitrectomy; however, we suggest that more research into different design directions is required. Full article
(This article belongs to the Collection 3D Printing in Medicine and Biomedical Engineering)
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<p>Vitrectomy surgery. (<b>a</b>) Schematic cross-section of the anatomy of the eye, showing the orientation of the collagen fibre network in the eye, based on [<a href="#B3-materials-16-01772" class="html-bibr">3</a>]. (<b>b</b>) Schematic of the set-up during a typical vitrectomy. (<b>c</b>) An example of a commercially available vitrectome as produced by D.O.R.C. (Dutch Ophthalmic Research Centre, Zuidland, The Netherlands).</p>
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<p>Close-up of the cutting principle of a vitrectome. The inner knife moves with a linear cutting motion within the stationary outer knife. Both knives have an opening on the side called an aspiration port, these two ports cause the inner knife to create two cuts instead of one per reciprocating motion (the cutting sides of the inner knife are highlighted with a blue line).</p>
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<p>Evolution of the design for the non-assembly vitrectome driving mechanism. (<b>a</b>) Schematic design of a simple, pneumatically actuated driving system with a piston (orange) delivering a forward motion for the inner needle by means of air pressure. (<b>b</b>) Same design in which the backward force is delivered by a spring (green). (<b>c</b>) Piston–spring system replaced by a flexible diaphragm, which fulfills both the function of the piston and the spring. (<b>d</b>) Dual diaphragm system in which the back of the instrument is also sealed with a diaphragm.</p>
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<p>Working principle of the dual diaphragm mechanism. Left: schematic dual diaphragm design showing the various components of the design before air pressure is applied. Right: air pressure is applied to the chamber, causing both diaphragms to exert an opposite force on the inner knife. The larger diameter of Diaphragm 1 results in a net forward force, causing a displacement “d” of the inner knife.</p>
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<p>Design of the non-assembly vitrectome. (<b>a</b>) Cross-section showing the various components of the design. (<b>b</b>) Cross-section showing the full dual diaphragm mechanism. Diameter outer knife 0.4 mm, length outer knife 28 mm, length entire 3D printed vitrectome 80 mm.</p>
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<p>Initial prototype of the non-assembly vitrectome. <b>Left</b>: 3D printed model of the vitrectome cut in half, showing the two knives, the carrier in black and the diaphragms in light red. <b>Right</b>: 3D printed model of the vitrectome. The attachment of the outer diaphragm can be seen as a black line through the red housing. Diameter outer knife 0.4 mm, length outer knife 28 mm, length entire 3D printed vitrectome 80 mm.</p>
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<p>Prototypes of the dual diaphragm mechanism used for the experimental evaluation. (<b>a</b>) 3D model of the prototype. (<b>b</b>) Cross-section of the 3D model showing the various parts. (<b>c</b>) Cross-section of the 3D printed prototype.</p>
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<p>Set-ups used in the experimental evaluation. (<b>a</b>) Set-up for the forward cutting force test and cutting speed test. (<b>b</b>) Set-up for the backward cutting force test. (<b>c</b>) Example of a force displacement plot used to calculate the spring coefficients of the prototypes.</p>
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<p>Test results of the digital material diaphragms. (<b>a</b>) The average forward force as a function of the pressure. (<b>b</b>) The displacement of the carrier as a function of the pressure. Only two prototypes for each material could be tested due to failure. (<b>c</b>) The time it took the carrier to reach a forward displacement of 0.8 mm as a function of different pressure levels. Only two prototypes for each material could be tested due to failure for the medium and stiff materials. Only one of the stiff prototypes (20Agilus80Vero) is plotted, and the other prototype failed during the test. (<b>d</b>) The loading and unloading curves of the prototypes, illustrating the hysteresis present in the mechanism.</p>
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<p>Design of the spring-reinforced diaphragms. (<b>a</b>) 3D model showing the cross-section of the prototype, with a flexible membrane printed in 100% Agilus30 and on top an ortho-planar spring printed in 100% Vero. (<b>b</b>) Top view of the spring design. (<b>c</b>) Photograph showing the printed prototype.</p>
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<p>Results from the spring-reinforced diaphragm tests. (<b>a</b>) The force displacement curves for the three different prototypes: Z0.28 (left), Z1.12 (middle), and Z2.24 (right). Note the different scaling of the <span class="html-italic">y</span>-axis. (<b>b</b>) Example of a time-displacement curve for the Z1.12 prototype at 250 Pa pressure.</p>
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14 pages, 919 KiB  
Protocol
The Effectiveness of Manual Therapy in the Cervical Spine and Diaphragm, in Combination with Breathing Reeducation Exercises, in Patients with Non-Specific Chronic Neck Pain: Protocol for Development of Outcome Measures and a Randomized Controlled Trial
by Petros I. Tatsios, Eirini Grammatopoulou, Zacharias Dimitriadis and George A. Koumantakis
Diagnostics 2022, 12(11), 2690; https://doi.org/10.3390/diagnostics12112690 - 4 Nov 2022
Cited by 4 | Viewed by 3996
Abstract
Until now, non-specific chronic neck pain has mainly been considered as a musculoskeletal system dysfunction, with associated psychological involvement due to its prolonged or recurrent nature. However, patients with non-specific chronic neck pain frequently additionally exhibit respiratory dysfunction. Emerging evidence suggests that addressing [...] Read more.
Until now, non-specific chronic neck pain has mainly been considered as a musculoskeletal system dysfunction, with associated psychological involvement due to its prolonged or recurrent nature. However, patients with non-specific chronic neck pain frequently additionally exhibit respiratory dysfunction. Emerging evidence suggests that addressing the respiratory dysfunction in these patients will provide additional therapeutic benefits in musculoskeletal and respiratory-related outcomes for several reasons (biomechanical, biochemical, and psychological). Motor control dysfunction of the muscles surrounding the spine (diaphragm included) negatively affects the mechanics and biochemistry of breathing (pH-homeostasis). An impaired and ineffective breathing pattern has been recognized as the primary source of many unexplained symptoms (anxiety, depression, confusion, chest pain, hypocapnia, and breathlessness) in patients with non-specific chronic neck pain. The proposed protocol’s purpose is dual: to assess the relative effectiveness of manual therapy in the cervical spine and the diaphragm, in combination with breathing reeducation exercises, along with cervical spine manual therapy or usual physical therapy care on the underlying dysfunctions in patients with non-specific chronic neck pain via a randomized controlled clinical trial, and to validate part of the outcome measures. Several musculoskeletal and respiratory dysfunction outcomes will be employed to delimit the initial extent and level of dysfunction and its resolution with the treatments under study. Full article
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<p>The three aspects of chronic neck pain dysfunction, with corresponding references. (red arrow mean increase or decrease).</p>
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<p>Design of the trial.</p>
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<p>Order of outcome assessments.</p>
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15 pages, 3437 KiB  
Article
A Novel High-Sensitivity MEMS Pressure Sensor for Rock Mass Stress Sensing
by Honghui Wang, Dingkang Zou, Peng Peng, Guangle Yao and Jizhou Ren
Sensors 2022, 22(19), 7593; https://doi.org/10.3390/s22197593 - 7 Oct 2022
Cited by 13 | Viewed by 2615
Abstract
This paper proposes a novel high-sensitivity micro-electromechanical system (MEMS) piezoresistive pressure sensor that can be used for rock mass stress monitoring. The entire sensor consists of a cross, dual-cavity, and all-silicon bulk-type (CCSB) structure. Firstly, the theoretical analysis is carried out, and the [...] Read more.
This paper proposes a novel high-sensitivity micro-electromechanical system (MEMS) piezoresistive pressure sensor that can be used for rock mass stress monitoring. The entire sensor consists of a cross, dual-cavity, and all-silicon bulk-type (CCSB) structure. Firstly, the theoretical analysis is carried out, and the relationship between the structural parameters of the sensor and the stress is analyzed by finite element simulation and curve-fitting prediction, and then the optimal structural parameters are also analyzed. The simulation results indicate that the sensor with the CCSB structure proposed in this article obtained a high sensitivity of 87.74 μV/V/MPA and a low nonlinearity error of 0.28% full-scale span (FSS) within the pressure range of 0–200 MPa. Compared with All-Si Bulk, grooved All-Si Bulk, Si-Glass Bulk, silicon diaphragm, resistance strain gauge, and Fiber Bragg grating structure pressure sensors, the designed sensor has a significant improvement in sensitivity and nonlinearity error. It can be used as a new sensor for rock disaster (such as collapse) monitoring and forecasting. Full article
(This article belongs to the Special Issue Application of MEMS/NEMS-Based Sensing Technology)
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<p>Schematic diagram of the optimized all-silicon pressure sensor structure, (<b>a</b>) 1/4 of FEA model, (<b>b</b>) 1/2 of FEA model, and (<b>c</b>) top view of the device layer.</p>
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<p>The p-type and n-type piezoresistance coefficients vary with direction on the (100) plane, and the radial coordinate is the piezoresistive coefficient (10<sup>−11</sup>/Pa). The circumferential scale is from 0 to 360 degrees. According to Equation (3), to maximize the relative resistivity, the p-type piezoresistance chooses the &lt;110&gt; crystal orientation arrangement, and the n-type piezoresistance chooses the &lt;100&gt; crystal orientation arrangement.</p>
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<p>Diagram of piezoresistive forces on the plane (100).</p>
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<p>(<b>a</b>) Simulation model of the bottomless cavity and bottomed cavity structure. (<b>b</b>) The equivalent stress distribution along the centerline of the base surface (the piezoresistive doped area is in the upper cavity). Except for the cavity, the two models have the same structure size, the externally applied hydrostatic pressure is 200 MPa, and the elastic modulus <span class="html-italic">E</span> is 1.69 × 10<sup>11</sup> Pa. (<b>c</b>) Relationship between the external load of the CCSB structure and the maximum stress and displacement of the sensor.</p>
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<p>The relationship between structure size (<b>a</b>) <span class="html-italic">L</span><sub>0</sub>, <span class="html-italic">H</span><sub>0</sub>, (<b>b</b>) <span class="html-italic">L</span><sub>1</sub>, <span class="html-italic">H</span><sub>1</sub>, (<b>c</b>) <span class="html-italic">L</span><sub>2</sub>, <span class="html-italic">H</span><sub>2</sub>, (<b>d</b>) <span class="html-italic">H</span><sub>3</sub>, <span class="html-italic">W</span><sub>3</sub>, (<b>e</b>) <span class="html-italic">H</span><sub>4</sub> and equivalent stress.</p>
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<p>The relationship between structure size (<b>a</b>) <span class="html-italic">L</span><sub>0</sub>, <span class="html-italic">H</span><sub>0</sub>, (<b>b</b>) <span class="html-italic">L</span><sub>1</sub>, <span class="html-italic">H</span><sub>1</sub>, (<b>c</b>) <span class="html-italic">L</span><sub>2</sub>, <span class="html-italic">H</span><sub>2</sub>, (<b>d</b>) <span class="html-italic">H</span><sub>3</sub>, <span class="html-italic">W</span><sub>3</sub>, (<b>e</b>) <span class="html-italic">H</span><sub>4</sub> and equivalent stress.</p>
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<p>(<b>a</b>) Schematic diagram of the dimensions of the all-silicon bulk-type structure, and (<b>b</b>) stress curves in the piezoresistive placement area.</p>
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<p>Sensor external load and output characteristic curve.</p>
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<p>Chart of the effect of the stresses corresponding to the bottom cavity and cross structure.</p>
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14 pages, 16899 KiB  
Article
Dual Synthetic Jets Actuator and Its Applications—Part I: PIV Measurements and Comparison to Synthetic Jet Actuator
by Zhenbing Luo, Zhijie Zhao, Xiong Deng, Lin Wang and Zhixun Xia
Actuators 2022, 11(8), 205; https://doi.org/10.3390/act11080205 - 22 Jul 2022
Cited by 11 | Viewed by 2671
Abstract
In order to understand the differences between dual synthetic jets (DSJs) and synthetic jets (SJs), particle image velocimetry (PIV) technology is used to capture the basic flow field characteristics of a dual synthetic jet actuator (DSJA) and a synthetic jet actuator (SJA), and [...] Read more.
In order to understand the differences between dual synthetic jets (DSJs) and synthetic jets (SJs), particle image velocimetry (PIV) technology is used to capture the basic flow field characteristics of a dual synthetic jet actuator (DSJA) and a synthetic jet actuator (SJA), and then a careful comparison between them is implemented. The results indicate that a cycle of the DSJ is divided into two stages. In the near-field downstream, a pair of synthetic jets entrain fluid around them and interact with each other, making the flow field complex, and the time-periodic diaphragm dominates them. There is an unfavorable phenomenon of “self-support” between the two jets. In the far-field downstream, the two jets merge into a single, more stable SJ with a higher velocity and a double characteristic frequency. The DSJs have also shown good vectoring characteristics, with the vectoring deflection angle (VDA) changing from about −46° to 46°. The above results demonstrate that the DSJA may replace the traditional SJA in all kinds of applications and extend the applying area of the SJ to more active flow control systems, which cannot be qualified by traditional SJA. Full article
(This article belongs to the Special Issue Active Flow Control: Recent Advances in Fundamentals and Applications)
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<p>Schematic of a traditional SJA and schlieren flow visualization. The two surfaces of the diaphragm are exposed to the BF and EF, respectively [<a href="#B6-actuators-11-00205" class="html-bibr">6</a>].</p>
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<p>Schematic and photograph of a novel DSJA. The two cavities share the same PZT diaphragm, and the diaphragm is only surrounded by the fluid drawn from the BF [<a href="#B18-actuators-11-00205" class="html-bibr">18</a>].</p>
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<p>Structure diagram of SJA and DSJA.</p>
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<p>Diagram of PIV system.</p>
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<p>PIV measurements of the SJA.</p>
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<p>PIV measurements of the SJA.</p>
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<p>PIV measurements of the DSJA.</p>
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<p>PIV measurements of the DSJA.</p>
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<p>Time-locked velocity traces on six measured points per unit circle.</p>
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<p>Streamline velocity of DSJ and SJ on x = 1 mm at different times.</p>
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<p>Streamline velocity of DSJ and SJ on y = 0 at different times.</p>
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<p>Mean velocity of DSJ (<b>left</b>) and SJ (<b>right</b>).</p>
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<p>Structure schematic of slide block.</p>
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<p>PIV measurements of DSJA with different α and <span class="html-italic">d<sub>L</sub></span>.</p>
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<p>VDA measurements of DSJA with different α and <span class="html-italic">d<sub>L</sub></span>.</p>
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15 pages, 3655 KiB  
Article
Research on the High Temperature and High Pressure Gold-Plated Fiber Grating Dual-Parameter Sensing Measurement System
by Na Zhao, Zhongkai Zhang, Qijing Lin, Kun Yao, Liangquan Zhu, Yi Chen, Libo Zhao, Bian Tian, Ping Yang and Zhuangde Jiang
Micromachines 2022, 13(2), 195; https://doi.org/10.3390/mi13020195 - 27 Jan 2022
Cited by 5 | Viewed by 2750
Abstract
In electrohydrostatic drive actuators, there is a demand for temperature and pressure monitoring in complex environments. Fiber Bragg grating (FBG) has become a promising sensor for measuring temperature and pressure. However, there is a cross-sensitivity between temperature and pressure. A gold-plated FBG is [...] Read more.
In electrohydrostatic drive actuators, there is a demand for temperature and pressure monitoring in complex environments. Fiber Bragg grating (FBG) has become a promising sensor for measuring temperature and pressure. However, there is a cross-sensitivity between temperature and pressure. A gold-plated FBG is proposed and manufactured, and an FBG is used as a reference grating to form a parallel all-fiber sensing system, which can realize the simultaneous measurement of pressure and temperature. Based on the simulation software, the mechanical distribution of the pressure diaphragm is analyzed, and the fixation scheme of the sensor is determined. Using the demodulator to monitor the changes in the reflectance spectrum in real-time, the pressure and ambient temperature applied to the sensor are measured. The experimental results show that the temperature sensitivity of gold-plated FBG is 3 times that of quartz FBG, which can effectively distinguish the temperature changes. The pressure response sensitivity of gold-plated FBG is 0.3 nm/MPa, which is same as the quartz FBG. Through the sensitivity matrix equation, the temperature and pressure dual-parameter sensing measurement is realized. The accuracy of the temperature and pressure measurement is 97.7% and 99.0%, and the corresponding response rates are 2.7 ms/°C and 2 ms/MPa, respectively. The sensor has a simple structure and high sensitivity, and it is promising to be applied in health monitoring in complex environments with a high temperature and high pressure. Full article
(This article belongs to the Special Issue Advanced Manufacturing Technology and Systems)
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<p>Design and manufacture of the sensor probe. (<bold>a</bold>) Structural design drawing of the sensor probe; (<bold>b</bold>) Physical map of the sensor probe; (<bold>c</bold>) Hexagonal nut; (<bold>d</bold>) Schematic diagram of the installation of parallel grating sensors.</p>
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<p>Force analysis of the pressure diaphragm.</p>
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<p>The actual photograph for the temperature measurement system.</p>
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<p>The change of the FBG center wavelength with the temperature.</p>
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<p>The change of the gold-plated FBG center wavelength with the temperature.</p>
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<p>Fitting curve of the temperature response sensitivity of the double grating sensor probe and the error bars.</p>
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<p>The actual photograph for the pressure measurement system.</p>
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<p>The change of the FBG center wavelength with pressure.</p>
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<p>The change of the gold-plated FBG center wavelength with pressure.</p>
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<p>Fitting curve of the pressure response sensitivity of the double grating sensor probe and the error bars.</p>
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<p>Dual-parameter sensing experiment platform.</p>
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<p>Measure the spectra with temperature and pressure.</p>
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<p>The temperature and pressure conditions to be measured based on the spectrum analysis of the sensor probe.</p>
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13 pages, 3004 KiB  
Article
Evaluating a Human Ear-Inspired Sound Pressure Amplification Structure with Fabry–Perot Acoustic Sensor Using Graphene Diaphragm
by Cheng Li, Xi Xiao, Yang Liu and Xuefeng Song
Nanomaterials 2021, 11(9), 2284; https://doi.org/10.3390/nano11092284 - 2 Sep 2021
Cited by 8 | Viewed by 3499
Abstract
In order to enhance the sensitivity of a Fabry–Perot (F-P) acoustic sensor without the need of fabricating complicated structures of the acoustic-sensitive diaphragm, a mini-type external sound pressure amplification structure (SPAS) with double 10 μm thickness E-shaped diaphragms of different sizes interconnected with [...] Read more.
In order to enhance the sensitivity of a Fabry–Perot (F-P) acoustic sensor without the need of fabricating complicated structures of the acoustic-sensitive diaphragm, a mini-type external sound pressure amplification structure (SPAS) with double 10 μm thickness E-shaped diaphragms of different sizes interconnected with a 5 mm length tapered circular rod was developed based on the acoustic sensitive mechanism of the ossicular chain in the human middle ear. The influence of thickness and Young’s modulus of the two diaphragms with the diameters of 15 mm and 3 mm, respectively, on the amplification ratio and frequency response were investigated via COMSOL acoustic field simulation, thereby confirming the dominated effect. Then, three kinds of dual-diaphragm schemes relating to steel and thermoplastic polyurethanes (TPU) materials were introduced to fabricate the corresponding SPASs. The acoustic test showed that the first scheme achieved a high resonant response frequency with lower acoustic amplification due to strong equivalent stiffness; in contrast, the second scheme offered a high acoustic amplification but reduced frequency range. As a result of sensitivity enhancement, adapted with the steel/TPU diaphragm structure, an optical fiber Fabry–Perot sensor using a multilayer graphene diaphragm with a diameter of 125 μm demonstrated a remarkable sensitivity of 565.3 mV/Pa @1.2 kHz due to the amplification ratio of up to ~29.9 in the range of 0.2–2.3 kHz, which can be further improved by miniaturizing structure dimension, along with the use of microstructure packaging technology. Full article
(This article belongs to the Special Issue Nanotechnologies and Nanomaterials: Selected Papers from CCMR)
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Figure 1
<p>Schematic illustrations of (<b>a</b>) a human middle ear structure and (<b>b</b>) the presented SPAS with an F-P probe.</p>
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<p>An equivalent schematic diagram of the force model for the presented SPAS.</p>
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<p>Simulation on (<b>a</b>) the effect of the radius <span class="html-italic">r</span><sub>1</sub> and <span class="html-italic">r</span><sub>2</sub> of the connecting rod on <span class="html-italic">K</span>, (<b>b</b>) the effect of the ratio of radius <span class="html-italic">R</span><sub>1</sub>/<span class="html-italic">R</span><sub>2</sub> and the thickness <span class="html-italic">H</span> of two diaphragms, and (<b>c</b>) the effect of the height <span class="html-italic">h</span> and the initial pressure <span class="html-italic">p</span><sub>0</sub> of cavity 2 on <span class="html-italic">K</span>.</p>
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<p>Acoustic simulation on (<b>a</b>) the effect of diaphragm thickness <span class="html-italic">H</span> on <span class="html-italic">K</span> and <span class="html-italic">f</span> and (<b>b</b>) the effect of Young’s modulus <span class="html-italic">E</span> of the diaphragm on <span class="html-italic">K</span> and <span class="html-italic">f</span>.</p>
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<p>Fabrication process of the SPAS. (<b>a</b>) Clamping diaphragm 2 between two steel gaskets. (<b>b</b>) Bonding diaphragm 1 onto the endface of a steel casing. (<b>c</b>) Fixing the parts that make up the SPAS. (<b>d</b>) Inserting an F-P probe into a location base. (<b>e</b>) Assembling the casing with the locating base installed with an F-P probe by epoxy glue. (<b>f</b>) Picture of the assembled SPAS.</p>
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<p>Experimental setup for the acoustic test.</p>
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<p>(<b>a</b>) Diaphragms 1 and 2 for the acoustic test. (<b>b</b>) Measured frequency response with or without SPAS, (<b>c</b>) <span class="html-italic">K</span> value and (<b>d</b>) acoustic sensitivity for the F-P sensors with SPAS1, SPAS2, and SPAS3. Note that the black horizontal line in (<b>b</b>) represents the normalized output from the reference microphone.</p>
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14 pages, 5695 KiB  
Article
Investigation of Composite Structure with Dual Fabry–Perot Cavities for Temperature and Pressure Sensing
by Jun Wang, Long Li, Shuaicheng Liu, Diyang Wu, Wei Wang, Ming Song, Guanjun Wang and Mengxing Huang
Photonics 2021, 8(5), 138; https://doi.org/10.3390/photonics8050138 - 23 Apr 2021
Cited by 12 | Viewed by 2576
Abstract
To deeply analyze the influence of diaphragm materials on the temperature and pressure sensitivity of Fabry–Perot interferometer-based dual-parameter fiber sensors, the multiple transfer method was used to fabricate the dual Fabry–Perot cavities, respectively, consisting of the following combinations: epoxy resin AB/polydimethylsiloxane (PDMS), Ecoflex0030 [...] Read more.
To deeply analyze the influence of diaphragm materials on the temperature and pressure sensitivity of Fabry–Perot interferometer-based dual-parameter fiber sensors, the multiple transfer method was used to fabricate the dual Fabry–Perot cavities, respectively, consisting of the following combinations: epoxy resin AB/polydimethylsiloxane (PDMS), Ecoflex0030 silicone rubber /PDMS, and PDMS/Ecoflex0030 silicone rubber. Experimental results show that the temperature sensitivities are, respectively, 528, 540, and 1033 pm/°C in the range of 40–100 °C. Within the applied pressure range of 100–400 kPa, the pressure sensitivities are, respectively, 16.0, 34.6, and 30.2 pm/kPa. The proposed sensors have advantages of proper sensitivity, simple fabrication, cost-effectiveness, controllable cavity length, and suitability for practical sensing applications. Full article
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Figure 1
<p>The composite structure based on dual FP cavities.</p>
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<p>(<b>a</b>) The theoretical spectrum of temperature (<math display="inline"><semantics> <mrow> <mo>Δ</mo> <mi>T</mi> </mrow> </semantics></math> = 10 °C) response (<math display="inline"><semantics> <mrow> <mo>Δ</mo> <msub> <mi>λ</mi> <mi>T</mi> </msub> </mrow> </semantics></math> ≈ 10.0 nm); and (<b>b</b>) the theoretical spectrum of pressure (<math display="inline"><semantics> <mrow> <mo>Δ</mo> <mi>P</mi> </mrow> </semantics></math> ≈ 0.1 MPa) response (<math display="inline"><semantics> <mrow> <mo>Δ</mo> <msub> <mi>λ</mi> <mi>T</mi> </msub> </mrow> </semantics></math> ≈ 0.9 nm).</p>
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<p>The preparation process of the composite structure based on dual FP cavities.</p>
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<p>Comparison of the fabricated FP sensors: (<b>a</b>) the interference spectrum of a single cavity sensor; (<b>b</b>) the Fourier transform spectrum of <a href="#photonics-08-00138-f004" class="html-fig">Figure 4</a>a; (<b>c</b>) the interference spectrum of a dual cavities sensor <math display="inline"><semantics> <mrow> <msub> <mi>S</mi> <mn>1</mn> </msub> </mrow> </semantics></math>; and (<b>d</b>) the Fourier transform spectrum of <math display="inline"><semantics> <mrow> <msub> <mi>S</mi> <mn>1</mn> </msub> </mrow> </semantics></math>.</p>
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<p>Temperature detection system.</p>
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<p>(<b>a</b>) The temperature (ranging from 40 to 100 °C, in strides of 10 °C) response interference spectrum of <math display="inline"><semantics> <mrow> <msub> <mi>S</mi> <mn>1</mn> </msub> </mrow> </semantics></math>(AB/PDMS); and (<b>b</b>) the temperature sensitivity of <math display="inline"><semantics> <mrow> <msub> <mi>S</mi> <mn>1</mn> </msub> </mrow> </semantics></math>.</p>
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<p>(<b>a</b>) The temperature (ranging from 40 to 100 °C, in strides 10 °C) response interference spectrum of <math display="inline"><semantics> <mrow> <msub> <mi>S</mi> <mn>2</mn> </msub> </mrow> </semantics></math> (Ecoflex0030/PDMS); and (<b>b</b>) temperature sensitivity of <math display="inline"><semantics> <mrow> <msub> <mi>S</mi> <mn>2</mn> </msub> </mrow> </semantics></math>.</p>
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<p>(<b>a</b>) The temperature (ranging from 40 to 100 °C, in strides of 10 °C) response interference Scheme 3. (PDMS/Ecoflex0030); and (<b>b</b>) temperature sensitivity of <math display="inline"><semantics> <mrow> <msub> <mi>S</mi> <mn>3</mn> </msub> </mrow> </semantics></math>.</p>
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<p>Pressure detection system.</p>
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<p>(<b>a</b>) The gas pressure (ranging from 100 to 400 kPa, in strides of 10 kPa) response interference spectrum of <math display="inline"><semantics> <mrow> <msub> <mi>S</mi> <mn>1</mn> </msub> </mrow> </semantics></math> (AB/PDMS); and (<b>b</b>) pressure sensitivity of <math display="inline"><semantics> <mrow> <msub> <mi>S</mi> <mn>1</mn> </msub> </mrow> </semantics></math>.</p>
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<p>(<b>a</b>) The gas pressure (ranging from 100 to 400 kPa, in strides of 10 kPa) response interference spectrum of <math display="inline"><semantics> <mrow> <msub> <mi>S</mi> <mn>2</mn> </msub> </mrow> </semantics></math> (Ecoflex0030/PDMS); and (<b>b</b>) pressure sensitivity of <math display="inline"><semantics> <mrow> <msub> <mi>S</mi> <mn>2</mn> </msub> </mrow> </semantics></math>.</p>
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<p>(<b>a</b>) The gas pressure (ranging from 100 to 400 kPa, in strides of 10 kPa) response interference spectrum of <math display="inline"><semantics> <mrow> <msub> <mi>S</mi> <mn>3</mn> </msub> </mrow> </semantics></math> (PDMS/Ecoflex0030); and (<b>b</b>) pressure sensitivity of <math display="inline"><semantics> <mrow> <msub> <mi>S</mi> <mn>3</mn> </msub> </mrow> </semantics></math>.</p>
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<p>The performances for the repeatability and stability of the sensor: (<b>a</b>) the interference Scheme 40. to 100 °C; and (<b>b</b>) the interference spectrum with temperature drops from 100 to 40 °C.</p>
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<p>The sensitivity of the repeatability and stability of the sensor.</p>
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33 pages, 12904 KiB  
Article
Dynamic Characteristics of a Segmented Supercritical Driveline with Flexible Couplings and Dry Friction Dampers
by Zhonghe Huang, Jianping Tan, Chuliang Liu and Xiong Lu
Symmetry 2021, 13(2), 281; https://doi.org/10.3390/sym13020281 - 6 Feb 2021
Cited by 24 | Viewed by 3766
Abstract
Helicopter tail rotors adopt a segmented driveline connected by flexible couplings, and dry friction dampers to suppress resonance. Modeling for this system can provide a basic foundation for parameter analysis. In this work, the lateral-torsional vibration equation of the shaft with continuous internal [...] Read more.
Helicopter tail rotors adopt a segmented driveline connected by flexible couplings, and dry friction dampers to suppress resonance. Modeling for this system can provide a basic foundation for parameter analysis. In this work, the lateral-torsional vibration equation of the shaft with continuous internal damping is established. The static and dynamic effects caused by flexible diaphragm couplings subject to parallel and angular misalignment is derived. A novel dual rub-impact model between the shaft and dry friction damper with multiple stages is proposed. Finally, a model of a helicopter tail rotor driveline incorporating all the above elements is formulated. Numerical simulations are carried out by an improved Adams–Bashforth method following the design flowchart. The dynamics of multiple vibration suppression, and the static and dynamic misalignment are analyzed to illustrate the accuracy and characteristics of the model. The coeffect of the rub impact and the misalignment on shafts and dampers are presented through the results of simulation and experiment. It provides an accurate and comprehensive mathematical model for the helicopter driveline. Response characteristics of multiple damping stages, static and dynamic misalignment, and their interaction are revealed. Full article
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Graphical abstract

Graphical abstract
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<p>Structure of a dry friction damper.</p>
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<p>Profile of segmented supercritical driveline with flexible diaphragm couplings and dry friction dampers.</p>
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<p>Structure of a flexible diaphragm coupling.</p>
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<p>The layout of (<b>a</b>) parallel and (<b>b</b>) angular misalignment.</p>
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<p>Three damping stages of the damper (the diameters of the shaft and sleeve are exaggeratedly reduced). Detail: The chamfer on the bushing is in contact with the fillet on the plate.</p>
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<p>Rub impact between the sleeve and damper ring, (<b>left</b>) the first stage, (<b>right</b>) the third stage. Detail: The chamfer on the sleeve impacts the fillet on the plate.</p>
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<p>The deformation of the dry friction damper when the collision point is at the top of the damping ring obtained by the FEA method.</p>
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<p>Computational flowchart to solve Equation (37).</p>
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<p>Displacement orbits and time-domain waveforms at the <span class="html-italic">Z</span>-axis of (<b>a</b>) shaft 1 and (<b>b</b>) shaft 2, <math display="inline"><semantics> <mrow> <msub> <mi>F</mi> <mrow> <mi>p</mi> <mi>r</mi> </mrow> </msub> <mo>=</mo> <mn>200</mn> <mi>N</mi> <mo>,</mo> <mn>1.08</mn> <msub> <mi>ω</mi> <mrow> <mi>n</mi> <mn>1</mn> </mrow> </msub> </mrow> </semantics></math>.</p>
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<p>Displacement orbits, frequency spectrum, Poincaré map and time-domain waveform at the <span class="html-italic">Z</span>-axis: (<b>a</b>) shaft 1, (<b>b</b>) shaft 2, (<b>c</b>) damper 1, and (<b>d</b>) damper 2, <math display="inline"><semantics> <mrow> <msub> <mi>F</mi> <mrow> <mi>p</mi> <mi>r</mi> </mrow> </msub> <mo>=</mo> <mn>110</mn> <mi>N</mi> <mo>,</mo> <mn>1.08</mn> <msub> <mi>ω</mi> <mrow> <mi>n</mi> <mn>1</mn> </mrow> </msub> </mrow> </semantics></math>.</p>
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<p>Displacement orbits, frequency spectrum, Poincaré map and time-domain waveform at the <span class="html-italic">Z</span>-axis: (<b>a</b>) shaft 1, (<b>b</b>) shaft 2, (<b>c</b>) damper 1, and (<b>d</b>) damper 2, <math display="inline"><semantics> <mrow> <msub> <mi>F</mi> <mrow> <mi>p</mi> <mi>r</mi> </mrow> </msub> <mo>=</mo> <mn>110</mn> <mi>N</mi> <mo>,</mo> <mn>1.08</mn> <msub> <mi>ω</mi> <mrow> <mi>n</mi> <mn>1</mn> </mrow> </msub> </mrow> </semantics></math>.</p>
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<p>Displacement orbits and frequency spectra of (<b>a</b>) shaft 1 and shaft 2, (<b>b</b>) damper 1 and damper 2, <math display="inline"><semantics> <mrow> <msub> <mi>F</mi> <mrow> <mi>p</mi> <mi>r</mi> </mrow> </msub> <mo>=</mo> <mn>20</mn> <mi>N</mi> <mo>,</mo> <mn>1.08</mn> <msub> <mi>ω</mi> <mrow> <mi>n</mi> <mn>1</mn> </mrow> </msub> </mrow> </semantics></math>.</p>
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<p>The amplitudes of (<b>a</b>) shaft 1 and damper 1 and (<b>b</b>) shaft 2 and damper 2, <math display="inline"><semantics> <mrow> <msub> <mi>F</mi> <mrow> <mi>p</mi> <mi>r</mi> </mrow> </msub> <mo>=</mo> <mn>20</mn> <mo> </mo> <mi>N</mi> </mrow> </semantics></math>. (s−shaft, d−damper, s0—no contact stage, s1—the 1st stage, s2—the 2nd stage, s3—3rd stage, r1—the first rub−impact, r2—the second rub−impact).</p>
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<p>Bifurcation diagrams of (<b>a</b>) shaft 1 and (<b>b</b>) damper 1 in the <span class="html-italic">Z</span>-axis direction, <math display="inline"><semantics> <mrow> <msub> <mi>F</mi> <mrow> <mi>p</mi> <mi>r</mi> </mrow> </msub> <mo>=</mo> <mn>110</mn> <mi>N</mi> </mrow> </semantics></math>.</p>
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<p>Bifurcation diagrams of (<b>a</b>) shaft 2 and (<b>b</b>) damper 2 in the <span class="html-italic">Z</span>-axis direction, <math display="inline"><semantics> <mrow> <msub> <mi>F</mi> <mrow> <mi>p</mi> <mi>r</mi> </mrow> </msub> <mo>=</mo> <mn>110</mn> <mi>N</mi> </mrow> </semantics></math>.</p>
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<p>Vibration with parallel misalignment <math display="inline"><semantics> <mrow> <msub> <mi>v</mi> <mi>i</mi> </msub> <mo>=</mo> <mn>0.1</mn> <mrow> <mo> </mo> <mi>mm</mi> </mrow> <mo>,</mo> <msub> <mi>w</mi> <mi>i</mi> </msub> <mo>=</mo> <mn>0.2</mn> <mrow> <mo> </mo> <mi>mm</mi> </mrow> </mrow> </semantics></math> of shaft 1 at <math display="inline"><semantics> <mrow> <mn>5</mn> <msub> <mi>ω</mi> <mrow> <mi>n</mi> <mn>1</mn> </mrow> </msub> <mo>/</mo> <mn>6</mn> </mrow> </semantics></math>.</p>
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<p>Vibration with angular misalignment <math display="inline"><semantics> <mrow> <msub> <mi>ϑ</mi> <mrow> <mi>Z</mi> <mi>i</mi> </mrow> </msub> <mrow> <mo>=</mo> <mn>0.005</mn> <mo> </mo> <mi>rad</mi> <mo>,</mo> </mrow> <msub> <mi>ϑ</mi> <mrow> <mi>Y</mi> <mi>i</mi> </mrow> </msub> <mrow> <mo>=</mo> <mn>0.01</mn> <mo> </mo> <mi>rad</mi> </mrow> </mrow> </semantics></math> of shaft 1 at <math display="inline"><semantics> <mrow> <mn>5</mn> <msub> <mi>ω</mi> <mrow> <mi>n</mi> <mn>1</mn> </mrow> </msub> <mo>/</mo> <mn>6</mn> </mrow> </semantics></math>.</p>
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<p>Vibration with angular and parallel misalignment <math display="inline"><semantics> <mrow> <msub> <mi>v</mi> <mi>i</mi> </msub> <mo>=</mo> <mn>0.1</mn> <mrow> <mo> </mo> <mi>mm</mi> </mrow> <mo>,</mo> <msub> <mi>w</mi> <mi>i</mi> </msub> <mo>=</mo> <mn>0.2</mn> <mrow> <mo> </mo> <mi>mm</mi> </mrow> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mi>ϑ</mi> <mrow> <mi>Z</mi> <mi>i</mi> </mrow> </msub> <mrow> <mo>=</mo> <mn>0.005</mn> <mo> </mo> <mi>rad</mi> <mo>,</mo> </mrow> <msub> <mi>ϑ</mi> <mrow> <mi>Y</mi> <mi>i</mi> </mrow> </msub> <mrow> <mo>=</mo> <mn>0.01</mn> <mo> </mo> <mi>rad</mi> </mrow> </mrow> </semantics></math> of shaft 1 at <math display="inline"><semantics> <mrow> <mn>5</mn> <msub> <mi>ω</mi> <mrow> <mi>n</mi> <mn>1</mn> </mrow> </msub> <mo>/</mo> <mn>6</mn> </mrow> </semantics></math>.</p>
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<p>Resonance of shaft 1 at (<b>a</b>) <math display="inline"><semantics> <mrow> <msub> <mi>ω</mi> <mrow> <mi>n</mi> <mn>1</mn> </mrow> </msub> <mo>/</mo> <mn>3</mn> </mrow> </semantics></math> and (<b>b</b>) <math display="inline"><semantics> <mrow> <msub> <mi>ω</mi> <mrow> <mi>n</mi> <mn>1</mn> </mrow> </msub> <mo>/</mo> <mn>2</mn> </mrow> </semantics></math> due to parallel and angular misalignment with <math display="inline"><semantics> <mrow> <msub> <mi>v</mi> <mi>i</mi> </msub> <mo>=</mo> <mn>0.2</mn> <mo> </mo> <mi>mm</mi> <mo>,</mo> <msub> <mi>w</mi> <mi>i</mi> </msub> <mo>=</mo> <mn>0.4</mn> <mo> </mo> <mi>mm</mi> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mi>ϑ</mi> <mrow> <mi>Z</mi> <mi>i</mi> </mrow> </msub> <mrow> <mo>=</mo> <mn>0.007</mn> <mo> </mo> <mi>rad</mi> <mo>,</mo> </mrow> <msub> <mi>ϑ</mi> <mrow> <mi>Y</mi> <mi>i</mi> </mrow> </msub> <mrow> <mo>=</mo> <mn>0.014</mn> <mo> </mo> <mi>rad</mi> </mrow> </mrow> </semantics></math>.</p>
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<p>Vibration with static angular and parallel misalignment for shaft 1 at <math display="inline"><semantics> <mrow> <mn>5</mn> <msub> <mi>ω</mi> <mrow> <mi>n</mi> <mn>1</mn> </mrow> </msub> <mo>/</mo> <mn>6</mn> </mrow> </semantics></math>.</p>
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<p>Displacement orbits, Poincaré map and time-domain waveform, power spectrum or frequency spectrum at the <span class="html-italic">Z</span>-axis for (<b>a</b>) shaft 1 (<b>b</b>) shaft 2 (<b>c</b>) damper 1 and (<b>d</b>) damper 2, where <math display="inline"><semantics> <mrow> <msub> <mi>F</mi> <mrow> <mi>p</mi> <mi>r</mi> </mrow> </msub> <mo>=</mo> <mn>200</mn> <mi>N</mi> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mi>v</mi> <mi>i</mi> </msub> <mo>=</mo> <mn>0.1</mn> <mrow> <mo> </mo> <mi>mm</mi> </mrow> <mo>,</mo> <msub> <mi>w</mi> <mi>i</mi> </msub> <mo>=</mo> <mn>0.2</mn> <mrow> <mo> </mo> <mi>mm</mi> </mrow> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mi>ϑ</mi> <mrow> <mi>Z</mi> <mi>i</mi> </mrow> </msub> <mrow> <mo>=</mo> <mn>0.007</mn> <mo> </mo> <mi>rad</mi> <mo>,</mo> </mrow> <msub> <mi>ϑ</mi> <mrow> <mi>Y</mi> <mi>i</mi> </mrow> </msub> <mrow> <mo>=</mo> <mn>0.014</mn> <mo> </mo> <mi>rad</mi> </mrow> </mrow> </semantics></math> at <math display="inline"><semantics> <mrow> <mn>1.08</mn> <msub> <mi>ω</mi> <mrow> <mi>n</mi> <mn>1</mn> </mrow> </msub> </mrow> </semantics></math>.</p>
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<p>Waterfall plot of the vibration suppression of (<b>a</b>) shaft 1 and (<b>b</b>) damper 1 for <math display="inline"><semantics> <mrow> <msub> <mi>F</mi> <mrow> <mi>N</mi> <mn>0</mn> </mrow> </msub> <mo>=</mo> <mn>200</mn> <mi>N</mi> </mrow> </semantics></math>.</p>
Full article ">Figure 21 Cont.
<p>Waterfall plot of the vibration suppression of (<b>a</b>) shaft 1 and (<b>b</b>) damper 1 for <math display="inline"><semantics> <mrow> <msub> <mi>F</mi> <mrow> <mi>N</mi> <mn>0</mn> </mrow> </msub> <mo>=</mo> <mn>200</mn> <mi>N</mi> </mrow> </semantics></math>.</p>
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<p>Waterfall plot of the misalignment of shaft 1 for <math display="inline"><semantics> <mrow> <msub> <mi>v</mi> <mi>i</mi> </msub> <mo>=</mo> <mn>0.1</mn> <mrow> <mo> </mo> <mi>mm</mi> </mrow> <mo>,</mo> <msub> <mi>w</mi> <mi>i</mi> </msub> <mo>=</mo> <mn>0.2</mn> <mrow> <mo> </mo> <mi>mm</mi> </mrow> </mrow> </semantics></math> <math display="inline"><semantics> <mrow> <msub> <mi>ϑ</mi> <mrow> <mi>Z</mi> <mi>i</mi> </mrow> </msub> <mrow> <mo>=</mo> <mn>0.005</mn> <mo> </mo> <mi>rad</mi> <mo>,</mo> </mrow> <msub> <mi>ϑ</mi> <mrow> <mi>Y</mi> <mi>i</mi> </mrow> </msub> <mrow> <mo>=</mo> <mn>0.01</mn> <mo> </mo> <mi>rad</mi> </mrow> </mrow> </semantics></math>.</p>
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<p>Waterfall plot of the coeffect of misalignment and vibration suppression of (<b>a</b>) shaft 1 and (<b>b</b>) damper 1 for <math display="inline"><semantics> <mrow> <msub> <mi>v</mi> <mi>i</mi> </msub> <mo>=</mo> <mn>0.1</mn> <mrow> <mo> </mo> <mi>mm</mi> </mrow> <mo>,</mo> <msub> <mi>w</mi> <mi>i</mi> </msub> <mo>=</mo> <mn>0.2</mn> <mrow> <mo> </mo> <mi>mm</mi> </mrow> </mrow> </semantics></math> <math display="inline"><semantics> <mrow> <msub> <mi>ϑ</mi> <mrow> <mi>Z</mi> <mi>i</mi> </mrow> </msub> <mrow> <mo>=</mo> <mn>0.005</mn> <mo> </mo> <mi>rad</mi> <mo>,</mo> </mrow> <msub> <mi>ϑ</mi> <mrow> <mi>Y</mi> <mi>i</mi> </mrow> </msub> <mrow> <mo>=</mo> <mn>0.01</mn> <mo> </mo> <mi>rad</mi> </mrow> </mrow> </semantics></math> <math display="inline"><semantics> <mrow> <msub> <mi>F</mi> <mrow> <mi>N</mi> <mn>0</mn> </mrow> </msub> <mo>=</mo> <mn>200</mn> <mi>N</mi> </mrow> </semantics></math>.</p>
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<p>Test rig of the helicopter tail rotor driveline.</p>
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<p>Waterfall plot of (<b>a</b>) misalignment, (<b>b</b>) vibration suppression, and (<b>c</b>) coeffect of misalignment and vibration suppression from the <span class="html-italic">Z</span>-axis direction of shaft 2.</p>
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<p>Diagram of movement of components and generated forces.</p>
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10 pages, 4386 KiB  
Article
MEMS-Based Reflective Intensity-Modulated Fiber-Optic Sensor for Pressure Measurements
by Ning Zhou, Pinggang Jia, Jia Liu, Qianyu Ren, Guowen An, Ting Liang and Jijun Xiong
Sensors 2020, 20(8), 2233; https://doi.org/10.3390/s20082233 - 15 Apr 2020
Cited by 19 | Viewed by 5858
Abstract
A reflective intensity-modulated fiber-optic sensor based on microelectromechanical systems (MEMS) for pressure measurements is proposed and experimentally demonstrated. The sensor consists of two multimode optical fibers with a spherical end, a quartz tube with dual holes, a silicon sensitive diaphragm, and a high [...] Read more.
A reflective intensity-modulated fiber-optic sensor based on microelectromechanical systems (MEMS) for pressure measurements is proposed and experimentally demonstrated. The sensor consists of two multimode optical fibers with a spherical end, a quartz tube with dual holes, a silicon sensitive diaphragm, and a high borosilicate glass substrate (HBGS). The integrated sensor has a high sensitivity due to the MEMS technique and the spherical end of the fiber. The results show that the sensor achieves a pressure sensitivity of approximately 0.139 mV/kPa. The temperature coefficient of the proposed sensor is about 0.87 mV/°C over the range of 20 °C to 150 °C. Furthermore, due to the intensity mechanism, the sensor has a relatively simple demodulation system and can respond to high-frequency pressure in real time. The dynamic response of the sensor was verified in a 1 kHz sinusoidal pressure environment at room temperature. Full article
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Figure 1

Figure 1
<p>Reflective intensity-modulated fiber-optic pressure sensor: (<b>a</b>) structural configuration; and (<b>b</b>) principle of pressure sensing.</p>
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<p>Influence of the numerical aperture on the modulation characteristic curve.</p>
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<p>Manufacturing of fiber-optic pressure sensors using MEMS technology.</p>
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<p>Sensor structure: (<b>a</b>) physical drawing of proposed sensor; (<b>b</b>) microscopic top view of the microsphere end of optical fiber; (<b>c</b>) side view of the optical fiber; and (<b>d</b>) sectional view of the double-hole quartz casing.</p>
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<p>Experimental setup of the sensor for pressure testing under the dynamic temperature.</p>
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<p>Output voltage versus pressure during three experiments.</p>
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<p>Relationship between the voltage and pressure at different temperatures.</p>
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<p>Temperature influence on the initial voltage of the sensor.</p>
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<p>Experimental setup of the dynamic pressure test.</p>
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<p>Output of the sensor: (<b>a</b>) waveform of voltage and (<b>b</b>) fast Fourier transform spectrum of the waveform.</p>
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