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Search Results (273)

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Keywords = bio-inspired surfaces

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15 pages, 2123 KiB  
Article
Optimization of Paper-Based Alveolar-Mimicking SERS Sensor for High-Sensitivity Detection of Antifungal Agent
by Hyunjun Park, Kyunghwan Chai, Eugene Park, Woochang Kim, Gayoung Kim, Joohyung Park, Wonseok Lee and Jinsung Park
Biosensors 2024, 14(12), 566; https://doi.org/10.3390/bios14120566 - 22 Nov 2024
Viewed by 377
Abstract
Crystal violet (CV) is a disinfectant and antifungal agent used in aquaculture that plays a vital role in treating aquatic diseases and sterilizing water. However, its potential for strong toxicity, including carcinogenicity and mutagenicity, upon accumulation in the body raises concerns regarding its [...] Read more.
Crystal violet (CV) is a disinfectant and antifungal agent used in aquaculture that plays a vital role in treating aquatic diseases and sterilizing water. However, its potential for strong toxicity, including carcinogenicity and mutagenicity, upon accumulation in the body raises concerns regarding its safe use. Therefore, there is a growing need for the quantitative detection of CV in its early application stages to ensure human safety. Recently, Raman spectroscopy-based surface-enhanced Raman scattering (SERS) detection research has been actively conducted; consequently, an alveolar-mimicking SERS paper (AMSP) inspired by the structure of the human lungs was developed. The AMSP was optimized through various factors, including paper type, reducing agent, reducing agent concentration, and reaction time. This optimization enhanced the surface area of interaction with the target substances and promoted hotspot formation, resulting in enhanced SERS performance. The substrate exhibited exceptional uniformity, reproducibility, and reliability. CV was successfully detected at a concentration of 1 nM in laboratory settings. Furthermore, the AMSP detected CV at 1 nM in real-world environmental samples, including fish farm water and human serum, confirming its potential as a practical detection and monitoring platform for CV in real-world samples. Full article
(This article belongs to the Special Issue Biosensors for Monitoring and Diagnostics)
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Figure 1
<p>Schematic diagram illustrating the optimization of various parameters for the fabrication of AMSP and their performance evaluation. The optimization parameters included different types of paper, reducing agents, concentrations of reducing agents, and reaction times (Optimization factors are indicated by separate star symbols). Consequently, AMSP, mimicking the structure of lungs and alveoli, was fabricated. These substrates enabled the sensitive detection of CV in various samples. Scale bar in the figure: 100 nm.</p>
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<p>Optimization of paper-based SERS substrates. Raman spectra of 100 μM 4-ATP on SERS substrates made with OMH-reducing agent on different types of paper: (<b>a</b>) cellulose, (<b>b</b>) CA, and (<b>c</b>) glass fiber, respectively. (<b>d</b>) Images of SERS substrates prepared on CA paper with different reducing agents (OMH, TSC, AA, HQ). (<b>e</b>) Raman spectra of 100 μM R6G reacted on each substrate. (<b>f</b>) Comparison of Raman intensities at 1504 cm<sup>−1</sup> peak of R6G. Red dotted inset image shows data with an adjusted y-axis scale. (<b>g</b>) Schematic of optimization process for OMH concentration and reaction time (scale bar: 100 nm). (<b>h</b>) Comparison of Raman intensities at 1504 cm<sup>−1</sup> peak of R6G for AMSPs prepared with varying OMH concentrations. (<b>i</b>) Raman intensities at 1504 cm<sup>−9</sup> peak of R6G for different reaction times using 20 mM OMH-reducing agent.</p>
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<p>Performance evaluation of the optimized AMSP. (<b>a</b>) SEM image of AMSP developed in this study, and (<b>b</b>) SEM image of substrate mimicking alveolar structure. (<b>c</b>) Schematic of optimization of sample reaction conditions: (i) drop-casting and (ii) dipping. (<b>d</b>) Comparison of Raman intensities at 1504 cm<sup>−1</sup> peak of 100 μM R6G for different reaction conditions: (i) results for drop volumes of 2, 5, and 10 μL, and (ii) results for dipping condition. (<b>e</b>) Detection results of R6G at different concen-trations (10<sup>−4</sup> to 10<sup>−10</sup> M) under optimized conditions; inset image shows results for low concentrations, with **** <span class="html-italic">p</span>-value &lt; 0.0001. (<b>f</b>) Raman mapping image of 100 μM R6G indicator on AMSP. (<b>g</b>) Heatmap image of Raman spectra at 30 random spots (#: number unit) on same substrate, showing bright colors at specific peaks of 1356 and 1504 cm<sup>−1</sup>. (<b>h</b>) Reproducibility assessment across five different AMSPs using measurements of 100 μM R6G indicator; RSD = 3.29%.</p>
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<p>Detection of CV using AMSP. Schematics of sample preparation and reaction conditions for CV detection in (<b>a</b>) DI water, (<b>b</b>) fish farm water, and (<b>c</b>) human serum. Comparison of Raman intensities at 1384 cm<sup>−1</sup>, a specific Raman peak of CV under each condition, (<b>d</b>) DI water, (<b>e</b>) fish farm water, (<b>f</b>) 10% human serum. The inset image of each data is the low-concentration result data of CV with the <span class="html-italic">y</span>-axis scale adjusted. (**** <span class="html-italic">p</span>-value &lt; 0.0001.)</p>
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24 pages, 8231 KiB  
Article
Adaptive Optimization and Dynamic Representation Method for Asynchronous Data Based on Regional Correlation Degree
by Sichao Tang, Yuchen Zhao, Hengyi Lv, Ming Sun, Yang Feng and Zeshu Zhang
Sensors 2024, 24(23), 7430; https://doi.org/10.3390/s24237430 - 21 Nov 2024
Viewed by 358
Abstract
Event cameras, as bio-inspired visual sensors, offer significant advantages in their high dynamic range and high temporal resolution for visual tasks. These capabilities enable efficient and reliable motion estimation even in the most complex scenes. However, these advantages come with certain trade-offs. For [...] Read more.
Event cameras, as bio-inspired visual sensors, offer significant advantages in their high dynamic range and high temporal resolution for visual tasks. These capabilities enable efficient and reliable motion estimation even in the most complex scenes. However, these advantages come with certain trade-offs. For instance, current event-based vision sensors have low spatial resolution, and the process of event representation can result in varying degrees of data redundancy and incompleteness. Additionally, due to the inherent characteristics of event stream data, they cannot be utilized directly; pre-processing steps such as slicing and frame compression are required. Currently, various pre-processing algorithms exist for slicing and compressing event streams. However, these methods fall short when dealing with multiple subjects moving at different and varying speeds within the event stream, potentially exacerbating the inherent deficiencies of the event information flow. To address this longstanding issue, we propose a novel and efficient Asynchronous Spike Dynamic Metric and Slicing algorithm (ASDMS). ASDMS adaptively segments the event stream into fragments of varying lengths based on the spatiotemporal structure and polarity attributes of the events. Moreover, we introduce a new Adaptive Spatiotemporal Subject Surface Compensation algorithm (ASSSC). ASSSC compensates for missing motion information in the event stream and removes redundant information, thereby achieving better performance and effectiveness in event stream segmentation compared to existing event representation algorithms. Additionally, after compressing the processed results into frame images, the imaging quality is significantly improved. Finally, we propose a new evaluation metric, the Actual Performance Efficiency Discrepancy (APED), which combines actual distortion rate and event information entropy to quantify and compare the effectiveness of our method against other existing event representation methods. The final experimental results demonstrate that our event representation method outperforms existing approaches and addresses the shortcomings of current methods in handling event streams with multiple entities moving at varying speeds simultaneously. Full article
(This article belongs to the Section Optical Sensors)
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<p>Schematic diagram of the human retina model and corresponding event camera pixel circuit.</p>
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<p>(<b>a</b>) We consider the light intensity change signals received by the corresponding pixels as computational elements in the time domain. (<b>b</b>) From the statistical results, it can be seen that the ON polarity ratio varies randomly over the time index.</p>
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<p>This graph represents the time span changes of each event cuboid processed by our algorithm.</p>
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<p>This figure illustrates the time surface of events in the original event stream. For clarity, only the x–t components are shown. Red crosses represent non-main events, and blue dots represent main events. (<b>a</b>) In the time surface described in [<a href="#B50-sensors-24-07430" class="html-bibr">50</a>] (corresponding to Formula (24)), only the occurrence frequency of the nearest events around the main event is considered. Consequently, non-main events with disruptive effects may have significant weight. (<b>b</b>) The local memory time surface corresponding to Formula (26) considers the influence weight of historical events within the current spatiotemporal window. This approach reduces the ratio of non-main events involved in the time surface calculation, better capturing the true dynamics of the event stream. (<b>c</b>) By spatially averaging the time surfaces of all events in adjacent cells, the time surface corresponding to Formula (29) can be further regularized. Due to the spatiotemporal regularization, the influence of non-main events is almost completely suppressed.</p>
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<p>Schematic of the Gromov–Wasserstein Event Discrepancy between the original event stream and the event representation results.</p>
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<p>Illustration of the grid positions corresponding to non-zero entropy values.</p>
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<p>Grayscale images and 3D event stream diagrams for three captured scenarios: (<b>a</b>) Grayscale illustration of the corresponding scenarios; (<b>b</b>) 3D event stream illustration of the corresponding scenarios.</p>
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<p>Grayscale images and 3D event stream diagrams for three captured scenarios: (<b>a</b>) Grayscale illustration of the corresponding scenarios; (<b>b</b>) 3D event stream illustration of the corresponding scenarios.</p>
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<p>The variation of the value of <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>GWED</mi> </mrow> <mi mathvariant="normal">N</mi> </msub> </mrow> </semantics></math> corresponding to each algorithm with different numbers of event samples.</p>
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<p>Illustration of the event stream processing results for Scene A by different algorithms: (<b>a</b>) TORE; (<b>b</b>) ATSLTD; (<b>c</b>) Voxel Grid; (<b>d</b>) MDES; (<b>e</b>) Ours.</p>
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<p>APED data obtained from the event stream processing results for Scene A by different algorithms.</p>
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<p>Illustration of the event stream processing results for Scene B by different algorithms: (<b>a</b>) TORE; (<b>b</b>) ATSLTD; (<b>c</b>) Voxel Grid; (<b>d</b>) MDES; (<b>e</b>) Ours.</p>
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<p>APED data obtained from the event stream processing results for Scene B by different algorithms.</p>
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<p>Illustration of the event stream processing results for Scene C by different algorithms: (<b>a</b>) TORE; (<b>b</b>) ATSLTD; (<b>c</b>) Voxel Grid; (<b>d</b>) MDES; (<b>e</b>) Ours.</p>
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<p>APED data obtained from the event stream processing results for Scene C by different algorithms.</p>
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16 pages, 7121 KiB  
Article
Experimental Aerodynamics of a Small Fixed-Wing Unmanned Aerial Vehicle Coated with Bio-Inspired Microfibers Under Static and Dynamic Stall
by Dioser Santos, Guilherme D. Fernandes, Ali Doosttalab and Victor Maldonado
Aerospace 2024, 11(11), 947; https://doi.org/10.3390/aerospace11110947 - 17 Nov 2024
Viewed by 364
Abstract
A passive flow control technique in the form of microfiber coatings with a diverging pillar cross-section area was applied to the wing suction surface of a small tailless unmanned aerial vehicle (UAV). The coatings are inspired from ‘gecko feet’ surfaces, and their impact [...] Read more.
A passive flow control technique in the form of microfiber coatings with a diverging pillar cross-section area was applied to the wing suction surface of a small tailless unmanned aerial vehicle (UAV). The coatings are inspired from ‘gecko feet’ surfaces, and their impact on steady and unsteady aerodynamics is assessed through wind tunnel testing. Angles of attack from −2° to 17° were used for static experiments, and for some cases, the elevon control surface was deflected to study its effectiveness. In forced oscillation, various combinations of mean angle of attack, frequency and amplitude were explored. The aerodynamic coefficients were calculated from load cell measurements for experimental variables such as microfiber size, the region of the wing coated with microfibers, Reynolds number and angle of attack. Microfibers with a 140 µm pillar height reduce drag by a maximum of 24.7% in a high-lift condition and cruise regime, while 70 µm microfibers work best in the stall flow regime, reducing the drag by 24.2% for the same high-lift condition. Elevon deflection experiments showed that pitch moment authority is significantly improved near stall when microfibers cover the control surface and upstream, with an increase in CM magnitude of up to 22.4%. Dynamic experiments showed that microfibers marginally increase dynamic damping in pitch, improving load factor production in response to control surface actuation at low angles of attack, but reducing it at higher angles. In general, the microfiber pillars are within the laminar boundary layer, and they create a periodic slip condition on the top surface of the pillars, which increases the near-wall momentum over the wing surface. This mechanism is particularly effective in mitigating flow separation at high angles of attack, reducing pressure drag and restoring pitching moment authority provided by control surfaces. Full article
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<p>(<b>A</b>) Concept of a shark skin denticle, (<b>B</b>) close perspective of bio-inspired microfibers, scale bar ≈ 100 µm, (<b>C</b>) surface coating from top, and (<b>D</b>) flow mechanism within the fibers and outside. Adapted from [<a href="#B26-aerospace-11-00947" class="html-bibr">26</a>].</p>
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<p>Planform drawing of UAV model with microfiber coverage (dimensions in mm).</p>
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<p>(<b>a</b>) Microfiber schematic (dimensions in µm); (<b>b</b>) wing covered with microfiber coating (zoomed-in picture adapted from Doosttalab et al. [<a href="#B26-aerospace-11-00947" class="html-bibr">26</a>]).</p>
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<p>Wind tunnel model setup of the ‘high-speed, long-range’ (HSLR) variant of the Switchblade UAV.</p>
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<p>Lift coefficients, <span class="html-italic">C<sub>L</sub></span> as a function of angle of attack, <span class="html-italic">α</span>.</p>
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<p>Drag polars; lift coefficients, <span class="html-italic">C<sub>L</sub></span> as a function of drag coefficients, <span class="html-italic">C<sub>D</sub></span>.</p>
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<p>Lift-to-drag ratio, <span class="html-italic">L</span>/<span class="html-italic">D</span> as a function of angle of attack, <span class="html-italic">α</span>.</p>
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<p>High angle of attack, <span class="html-italic">α</span> lift-to-drag ratio, <span class="html-italic">L</span>/<span class="html-italic">D</span> enhancement.</p>
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<p>Time-averaged velocity over a curved APG section representative of an airfoil in turbulent flow with a freestream velocity of 30 m/s.</p>
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<p>Elevon deflection performance: pitching moment coefficient, <span class="html-italic">C<sub>M</sub></span> as a function of elevon deflection angle, <span class="html-italic">δ<sub>e</sub></span> for the baseline and micropillar cases.</p>
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<p>Dynamic pitch coefficients for different surface cases and wing coverage: (<b>a</b>) <span class="html-italic">C<sub>A</sub></span>; (<b>b</b>) <span class="html-italic">C<sub>N</sub></span>; (<b>c</b>) <span class="html-italic">C<sub>M</sub></span>. The black arrow indicates the direction of the pitch up maneuver.</p>
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<p>Dynamic derivatives in pitch: <math display="inline"><semantics> <mrow> <msub> <mi>C</mi> <mrow> <msub> <mi>A</mi> <mi>q</mi> </msub> </mrow> </msub> </mrow> </semantics></math>; <math display="inline"><semantics> <mrow> <msub> <mi>C</mi> <mrow> <msub> <mi>M</mi> <mi>q</mi> </msub> </mrow> </msub> </mrow> </semantics></math>; <math display="inline"><semantics> <mrow> <msub> <mi>C</mi> <mrow> <msub> <mi>M</mi> <mi>q</mi> </msub> </mrow> </msub> </mrow> </semantics></math> as a function of mean angle of attack.</p>
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14 pages, 510 KiB  
Review
Surface Functionalization of 3D-Printed Bio-Inspired Scaffolds for Biomedical Applications: A Review
by Yeon Soo Kim and Yoo Seob Shin
Biomimetics 2024, 9(11), 703; https://doi.org/10.3390/biomimetics9110703 - 16 Nov 2024
Viewed by 546
Abstract
Three-dimensional (3D) printing is a highly effective scaffold manufacturing technique that may revolutionize tissue engineering and regenerative medicine. The use of scaffolds, along with growth factors and cells, remains among the most promising approaches to organ regeneration. However, the applications of hard 3D-printed [...] Read more.
Three-dimensional (3D) printing is a highly effective scaffold manufacturing technique that may revolutionize tissue engineering and regenerative medicine. The use of scaffolds, along with growth factors and cells, remains among the most promising approaches to organ regeneration. However, the applications of hard 3D-printed scaffolds may be limited by their poor surface properties, which play a crucial role in cell recruitment and infiltration, tissue–scaffold integration, and anti-inflammatory properties. However, various prerequisites must be met before 3D-printed scaffolds can be applied clinically to the human body. Consequently, various attempts have been made to modify the surfaces, porosities, and mechanical properties of these scaffolds. Techniques that involve the chemical and material modification of surfaces can also be applied to enhance scaffold efficacy. This review summarizes the characteristics and discusses the developmental directions of the latest 3D-printing technologies according to its intended application in unmet clinical needs. Full article
(This article belongs to the Special Issue Bio-Inspired Additive Manufacturing Materials and Structures)
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Graphical abstract
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<p>Comparison of different surface-functionalization methods. UV, ultraviolet.</p>
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30 pages, 4171 KiB  
Review
Animal-Morphing Bio-Inspired Mechatronic Systems: Research Framework in Robot Design to Enhance Interplanetary Exploration on the Moon
by José Cornejo, Cecilia E. García Cena and José Baca
Biomimetics 2024, 9(11), 693; https://doi.org/10.3390/biomimetics9110693 - 13 Nov 2024
Viewed by 704
Abstract
Over the past 50 years, the space race has potentially grown due to the development of sophisticated mechatronic systems. One of the most important is the bio-inspired mobile-planetary robots, actually for which there is no reported one that currently works physically on the [...] Read more.
Over the past 50 years, the space race has potentially grown due to the development of sophisticated mechatronic systems. One of the most important is the bio-inspired mobile-planetary robots, actually for which there is no reported one that currently works physically on the Moon. Nonetheless, significant progress has been made to design biomimetic systems based on animal morphology adapted to sand (granular material) to test them in analog planetary environments, such as regolith simulants. Biomimetics and bio-inspired attributes contribute significantly to advancements across various industries by incorporating features from biological organisms, including autonomy, intelligence, adaptability, energy efficiency, self-repair, robustness, lightweight construction, and digging capabilities-all crucial for space systems. This study includes a scoping review, as of July 2024, focused on the design of animal-inspired robotic hardware for planetary exploration, supported by a bibliometric analysis of 482 papers indexed in Scopus. It also involves the classification and comparison of limbed and limbless animal-inspired robotic systems adapted for movement in soil and sand (locomotion methods such as grabbing-pushing, wriggling, undulating, and rolling) where the most published robots are inspired by worms, moles, snakes, lizards, crabs, and spiders. As a result of this research, this work presents a pioneering methodology for designing bio-inspired robots, justifying the application of biological morphologies for subsurface or surface lunar exploration. By highlighting the technical features of actuators, sensors, and mechanisms, this approach demonstrates the potential for advancing space robotics, by designing biomechatronic systems that mimic animal characteristics. Full article
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<p>Adapted PRISMA flow diagram of the search process. CR: Crab, MO: Mole, WO: Worm, LZ: Lizard, SN: Snake. SP: Spider, SF-X: Surface exploration, SSF-X: Subsurface exploration. The numbers mean the quantity of published articles.</p>
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<p>Novel proposal of design methodology for space planetary bio-robots, it starts with the INPUT: Selection of animal-specie, and finishes with the OUTPUT: Prototype. Note: Analog Environment is defined as terrestrial locations that exhibit geological or environmental conditions analogous to celestial bodies, like the Moon or Mars. Source: Original contribution.</p>
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<p><span class="html-italic">Subsurface Exploration</span>: (<b>I</b>) Crab, Emerita Analoga (Standard Copyright Licence transferred to the authors) Adapted with permission from Bandersnatch(1808981506)/<a href="http://Shutterstock.com" target="_blank">Shutterstock.com</a> (accessed on 8 July 2024).—(<b>A</b>) Hardware components and full assembly, including the cuticle design, homing hall effect sensors, and retractable fabric leg design. Reproduced from [<a href="#B48-biomimetics-09-00693" class="html-bibr">48</a>]. CC BY 4.0. (<b>II</b>) Mole, Eremitalpa Granti (Standard Copyright Licence transferred to the authors) Adapted with permission from Anthony Bannister(MFFHY0)/<a href="http://Shutterstock.com" target="_blank">Shutterstock.com</a> (accessed on 9 July 2024).—(<b>B.1</b>) Design of the cable-driven burrowing force amplification mechanism. (<b>B.2</b>) System configuration. Reprinted from [<a href="#B50-biomimetics-09-00693" class="html-bibr">50</a>], Copyright (2023), with permission from IEEE. (<b>B.3</b>) Motion process during burrowing. (<b>B.4</b>) Prototype experiment and model angle measurement. Reprinted from [<a href="#B52-biomimetics-09-00693" class="html-bibr">52</a>], Copyright (2023), with permission from IEEE. Note: The left column shows the animal, while the right column represents the bio-inspired robot.</p>
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<p>Subsurface Exploration: (<b>I</b>) Worm, Eunice Aphroditois (Standard Copyright License transferred to the authors) Adapted with permission from Cingular(1219459138)/<a href="http://Shutterstock.com" target="_blank">Shutterstock.com</a> (accessed on 8 July 2024).—(<b>A.1</b>) Robot is mainly made up of three units: a propulsion unit, an excavation unit, and a discharging unit. The propulsion unit contains three additional propulsion subunits and propels through a borehole by reproducing the peristaltic crawling motion of an earthworm. Moreover, the propulsion unit allows LEAVO to excavate deep underground by supporting the reaction torque/force of the excavation by gripping the wall of the borehole. The excavation unit mainly includes an excavation instrument, namely, an “earth auger”, and a casing pipe covering the earth auger. The excavation unit excavates soil and transports it to the back of the robot. The soil in the back of the robot is discharged out of the borehole using the discharging unit. Reprinted from [<a href="#B59-biomimetics-09-00693" class="html-bibr">59</a>], Copyright (2018), with permission from IEEE. (<b>A.2</b>) Bio-inspired PSA modules are assembled in series using interconnections to form a soft robot with passive setae-like friction pads on its ventral side. (<b>A.3</b>) Working principle of the actuator with positive and negative pressure compared to the muscular motion observed in earthworm segments. Reproduced from [<a href="#B69-biomimetics-09-00693" class="html-bibr">69</a>]. CC BY 4.0. Surface Exploration: (<b>II</b>) Snake, Sonora Occipitalis (Standard Copyright License transferred to the authors) Adapted with permission from Matt Jeppson(86483413)/<a href="http://Shutterstock.com" target="_blank">Shutterstock.com</a> (accessed on 8 July 2024).—(<b>B.1</b>) An overview of the snake robot locomotion experiment. The snake robot is moving on granular terrain. A single DC motor drives the robot to generate sidewinding locomotion. The motion capture system captures the motion data through five reflective markers on the snake robot. (<b>B.2</b>) Fabrication of the continuous snake robot with a single rotary motor. Different mounting holes on the head anchor are used to adjust the slope angle. Basins assemble the body shells. (<b>B.3</b>) A cylindrical helix rod with two coils is made by 3D printing. (<b>B.4</b>) 3D printed body shells are linked to form a robot snake shell. (<b>B.5</b>) the helix rod is put into the body shells to form the snake robot body. (<b>B.6</b>) The snake robot body is filmed with silicone elastomers to improve the friction coefficient; (<b>B.7</b>) Prototype of snake robot after painting. Reprinted from [<a href="#B83-biomimetics-09-00693" class="html-bibr">83</a>], Copyright (2023), with permission from IEEE. Note: The left column shows the animal, while the right column represents the bio-inspired robot.</p>
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<p>Surface Exploration: (<b>I</b>) Lizard, Scincus Scincus (Standard Copyright License transferred to the authors) Adapted with permission from Kurit afshen(2358731213)/<a href="http://Shutterstock.com" target="_blank">Shutterstock.com</a>, (accessed on 8 July 2024).—(<b>A.1</b>) schematic of robot design—top view, and soft-amphibious robot-Reprinted from [<a href="#B77-biomimetics-09-00693" class="html-bibr">77</a>], Copyright (2017), with permission from IEEE. (<b>A.2</b>) fabricated prototype of the lizard-inspired quadruped robot moving on simulated Mars surface terrains. Reproduced from [<a href="#B79-biomimetics-09-00693" class="html-bibr">79</a>]. CC BY 4.0. (<b>II</b>) Spider, Carparachne Aureoflava (Standard Copyright License transferred to the authors) Adapted with permission from Tobias Hauke(1958871052)/<a href="http://Shutterstock.com" target="_blank">Shutterstock.com</a> (accessed on 8 July 2024).—(<b>B.1</b>) 4 legged-system showing the pitch, roll, and yaw servo motors associated with the hemispherical limbs while the robot is in the crawling posture. (<b>B.2</b>) Bio-inspired reconfigurable prototype. Reproduced from [<a href="#B88-biomimetics-09-00693" class="html-bibr">88</a>]. CC BY 4.0. Note: The left column shows the animal, while the right column represents the bio-inspired robot.</p>
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10 pages, 2461 KiB  
Article
Development of a Cone Penetration Testing Apparatus with a Textured Shaft
by Tae-Young Kim, Kyung-Hoon Jung and Song-Hun Chong
Appl. Sci. 2024, 14(22), 10090; https://doi.org/10.3390/app142210090 - 5 Nov 2024
Viewed by 573
Abstract
The anisotropy of shear resistance depending on friction direction can be selectively utilized in geotechnical structures. For instance, deep foundations and soil nailing, which are subject to axial loads, benefit from increased load transfer due to greater shear resistance. In contrast, minimal shear [...] Read more.
The anisotropy of shear resistance depending on friction direction can be selectively utilized in geotechnical structures. For instance, deep foundations and soil nailing, which are subject to axial loads, benefit from increased load transfer due to greater shear resistance. In contrast, minimal shear resistance is desirable in applications such as pile driving and soil sampling. Previous studies explored the shear resistance by interface between soil and surface asperities of a plate inspired by the geometry of snake scales. In this study, the interface friction anisotropy based on the load direction of cones with surface asperities is evaluated. First, a laboratory model chamber and a small-scale cone system are developed to quantitatively assess shear resistance under two load directions (penetration ⟶ pull-out). A preliminary test is conducted to analyze the boundary effects for the size of the model chamber and the distance between cones by confirming similar penetration resistance values at four cone penetration points. The interface shear behavior between the cone surface and the surrounding sand is quantitatively analyzed using cones with various asperity geometries under constant vertical stress. The results show that penetration resistance and pull-out resistance are increased with a higher height, shorter length of asperity and shearing direction with a decreasing height of surface asperity. Full article
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<p>Schematic diagram of the testing apparatus to measure the resistance of a cone with a textured shaft during penetration and pull-out processes: (<b>a</b>) Entire small-scale cone system; (<b>b</b>) Locations of four cone penetration points.</p>
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<p>Schematic diagram of a miniature cone with a textured shaft. The height of surface asperity in shearing direction A is increased during penetration testing. In contrast, shearing direction B decreases the height of surface asperity.</p>
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<p>Cone penetration test procedure and measurement.</p>
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<p>Experimental repeatability of cone penetration and pull–out testing. The smooth-surface cone is penetrated and pulled out at four different locations in the same test. Note that the negative convention of the measured force indicates the pull-out test.</p>
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<p>Time series during penetration and pull–out testing.</p>
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<p>Effect of cone shaft asperity on the measured force during penetration and pull–out testing: (<b>a</b>) L = 20 mm and H = 0.5 mm; (<b>b</b>) L = 20 mm and H = 0.3 mm; (<b>c</b>) L = 6 mm and H = 0.3 mm.</p>
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<p>Effect of cone shaft asperity on the measured force during penetration and pull–out testing: (<b>a</b>) L = 20 mm and H = 0.5 mm; (<b>b</b>) L = 20 mm and H = 0.3 mm; (<b>c</b>) L = 6 mm and H = 0.3 mm.</p>
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<p>Measured force against displacement during pull–out tests after the cone is penetrated: (<b>a</b>) L = 20 mm, H = 0.3 mm; (<b>b</b>) L = 20 mm; H = 0.5 mm; (<b>c</b>) L = 6 mm, H = 0.3 mm.</p>
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<p>Measured force against displacement during pull–out tests after the cone is penetrated: (<b>a</b>) L = 20 mm, H = 0.3 mm; (<b>b</b>) L = 20 mm; H = 0.5 mm; (<b>c</b>) L = 6 mm, H = 0.3 mm.</p>
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15 pages, 4441 KiB  
Article
A Hollow Hemispherical Mixed Matrix Lithium Adsorbent with High Interfacial Interaction for Lithium Recovery from Brine
by Yuyang Feng, Yifei Zhang, Lin Wang, Shiqiang Wang, Lina Xu, Senjian Han and Tianlong Deng
Separations 2024, 11(10), 301; https://doi.org/10.3390/separations11100301 - 19 Oct 2024
Viewed by 723
Abstract
Mixed matrix lithium adsorbents have attracted much interest for lithium recovery from brine. However, the absence of an interfacial interaction between the inorganic lithium-ion sieves (LISs) and the organic polymer matrix resulted in the poor structural stability and attenuated lithium adsorption efficiency. Here, [...] Read more.
Mixed matrix lithium adsorbents have attracted much interest for lithium recovery from brine. However, the absence of an interfacial interaction between the inorganic lithium-ion sieves (LISs) and the organic polymer matrix resulted in the poor structural stability and attenuated lithium adsorption efficiency. Here, a novel hollow hemispherical mixed matrix lithium adsorbent (H-LIS) with high interfacial compatibility was constructed based on mussel-bioinspired surface chemistry using a solvent evaporation induced phase transition method. The effects of types of functional modifiers, LIS loading amount, adsorption temperature and pH on their structural stability and lithium adsorption performance were systematically investigated. The optimized H-LIS adsorbent with the LIS loading amount of 50 wt.% possessed the structural merit that the LIS functionally modified by dopamine exposed on both the inner and outer surfaces of the hollow hemispheres. At the best adsorption pH of 12.0, it showed a comparable lithium adsorption capacity of 25.68 mg·g−1 to the powdery LIS within 4 h, favorable adsorption selectivity of Mg/Li and good reusability that could maintain over 90% of lithium adsorption capacity after the LiCl adsorption—0.25 M HCl pickling-DI water cleaning cycling processes for three times. The interfacial interaction mechanism of H-LIS for lithium adsorption was innovatively explored via advanced microcalorimetry technology. It suggested the nature of the Li+ adsorption process was exothermic and dopamine modification could reduce the activation energy for lithium adsorption from 15.68 kJ·mol−1 to 13.83 kJ·mol−1 and trigger a faster response to Li+ by strengthening the Li+-H+ exchange rate, which established the thermodynamic relationship between the structure and Li+ adsorption performance of H-LIS. This work will provide a technical support for the structural regulation of functional materials for lithium extraction from brine. Full article
(This article belongs to the Section Separation Engineering)
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<p>Morphological characteristics of the H-LIS adsorbent doped with DA/HTO. (<b>a</b>) Digital photo. (<b>b</b>) Particle size distribution. (<b>c</b>,<b>d</b>) SEM images of (<b>c</b>) the outer surface and (<b>d</b>) the inter surface.</p>
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<p>Deconvolution of the XPS spectra. (<b>a</b>,<b>c</b>) S 2p and (<b>b</b>,<b>d</b>) Ti 2p for (<b>a</b>,<b>b</b>) the DA/HTO/PSF adsorbent and (<b>c</b>,<b>d</b>) HTO/PSF adsorbent. Purple replaced the peak area of satellite. Yellow replaced the peak area of Ti-O in Ti 2p<sub>3/2</sub>. Blue replaced the peak area of Ti-O in Ti 2p<sub>1/2.</sub> Baby blue replaced the peak area of S 2p<sub>1/2</sub>. Baby yellow replaced the peak area of S 2p<sub>3/2</sub>.</p>
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<p>Effects of types of functional modifiers on the (<b>a</b>) Li<sup>+</sup> adsorption capacity (<span class="html-italic">Q</span><sub>Li</sub>) and (<b>b</b>) dissolution loss rate of Ti<sup>4+</sup> (temperature: 298.15 K; pH: 12.0; Li<sup>+</sup> concentration: 25.00 mg·L<sup>−1</sup>).</p>
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<p>The effects of the loading amount of DA/HTO and HTO on the structure stability and Li<sup>+</sup> adsorption performance of H-LIS. (<b>a</b>–<b>h</b>) Digital photos of (<b>a</b>–<b>d</b>) the DA/HTO/PSF and (<b>e</b>–<b>h</b>) HTO/PSF adsorbent with the DA/HTO loading amount of (<b>a</b>,<b>e</b>) 0 wt.%, (<b>b</b>,<b>f</b>) 20 wt.%, (<b>c</b>,<b>g</b>) 50 wt.% and (<b>d</b>,<b>h</b>) 66 wt.%. The insets were LiCl solutions as the H-LIS adsorbent reached Li<sup>+</sup> adsorption equilibrium. The effect of the loading amount of DA/HTO and HTO on (<b>i</b>) the Li<sup>+</sup> adsorption capacity and (<b>j</b>) water uptake (WU) rate of H-LIS. (<b>k</b>) The Li<sup>+</sup> adsorption capacity of the DA/HTO/DSF adsorbent with the DA/HTO loading amount of 50 wt.% after triple cycles of adsorption-desorption processes (temperature: 298.15 K; pH: 12.0; Li<sup>+</sup> concentration: 25.00 mg·L<sup>−1</sup>).</p>
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<p>(<b>a</b>) Adsorption isotherms of DA/HTO/PSF adsorbent at 298.15 K and pH 12.0, the Li<sup>+</sup> concentration in initial solution (<span class="html-italic">C</span><sub>Li</sub>) ranged from 10.0 to 50.0 mg·L<sup>−1</sup>. The effects of (<b>b</b>) pH and (<b>c</b>) adsorption temperature on the Li<sup>+</sup> adsorption capacity for DA/HTO/PSF adsorbent with the DA/HTO loading amount of 50 wt.% (Li<sup>+</sup> concentration: 25.00 mg·L<sup>−1</sup>).</p>
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<p>Adsorption thermokinetics of H-LIS. (<b>a</b>–<b>f</b>) Heat flow-time curves of Li<sup>+</sup> adsorption for (<b>a</b>–<b>c</b>) the HTO/PSF adsorbent and (<b>d</b>–<b>f</b>) DA/HTO/PSF adsorbent. (<b>g</b>) The result on the simulation of Li<sup>+</sup> adsorption progress at different temperatures versus time. (<b>h</b>) The activation energy obtained by AKTS software. (<b>i</b>) Comparison in the heat flux of DA/HTO/PSF adsorbent, HTO/PSF adsorbent and pure PSF for Li<sup>+</sup> and Mg<sup>2+</sup>.</p>
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<p>Illustration of the forming mechanism for H-LIS.</p>
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14 pages, 4050 KiB  
Article
Easily Applicable Superhydrophobic Composite Coating with Improved Corrosion Resistance and Delayed Icing Properties
by Binbin Zhang, Lixia Zhao and Baorong Hou
Polymers 2024, 16(19), 2800; https://doi.org/10.3390/polym16192800 - 3 Oct 2024
Viewed by 813
Abstract
Mitigating the adverse effects of corrosion failure and low-temperature icing on aluminum (Al) alloy materials poses significant research challenges. The facile fabrication of bioinspired superhydrophobic materials offers a promising solution to the issues of corrosion and icing. In this study, we utilized laboratory-collected [...] Read more.
Mitigating the adverse effects of corrosion failure and low-temperature icing on aluminum (Al) alloy materials poses significant research challenges. The facile fabrication of bioinspired superhydrophobic materials offers a promising solution to the issues of corrosion and icing. In this study, we utilized laboratory-collected candle soot (CS), hydrophobic fumed SiO2, and epoxy resin (EP) to create a HF-SiO2@CS@EP superhydrophobic coating on Al alloy surfaces using a spray-coating technique. Various characterization techniques, including contact angle meter, high-speed camera, FE-SEM, EDS, FTIR, and XPS, were employed to investigate surface wettability, morphologies, and chemical compositions. Moreover, a 3.5 wt.% NaCl solution was used as a corrosive medium to evaluate the corrosion resistance of the uncoated and coated samples. The results show that the capacitive arc radius, charge transfer resistance, and low-frequency modulus of the coated Al alloy significantly increased, while the corrosion potential (Ecorr) shifted positively and the corrosion current (Icorr) decreased by two orders of magnitude, indicating improved corrosion resistance. Additionally, an investigation of ice formation on the coated Al alloy at −10 °C revealed that the freezing time was 4.75 times longer and the ice adhesion strength was one-fifth of the uncoated Al alloy substrate, demonstrating superior delayed icing and reduced ice adhesion strength performance. Full article
(This article belongs to the Special Issue Sustainable Polymers: Synthesis and Applications)
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<p>Schematic illustration of the experimental fabrication process for the candle soot particles and superhydrophobic composite coating.</p>
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<p>(<b>a</b>) CA image, (<b>b</b>) SA image, (<b>c</b>) optical image of water droplets placed on the coated sample, dynamic water droplet impact process on (<b>d</b>) bare 5083 Al alloy, and (<b>e</b>) superhydrophobic coating.</p>
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<p>FE-SEM images of (<b>a</b>) bare 5083 Al alloy and (<b>b</b>) superhydrophobic coating; (<b>c</b>,<b>d</b>) cross-section SEM images of superhydrophobic coating.</p>
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<p>(<b>a</b>) EDS spectra and (<b>b</b>–<b>d</b>) EDS element mappings of C, O, and Si of the prepared superhydrophobic coating.</p>
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<p>(<b>a</b>) FTIR spectra, (<b>b</b>) full XPS spectra, and high-resolution (<b>c</b>) C1s and (<b>d</b>) O1s spectra of the HF-SiO<sub>2</sub>@CS@EP superhydrophobic coating.</p>
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<p>Nyquist plots of (<b>a</b>) bare 5083 Al alloy and (<b>b</b>) superhydrophobic coating-protected Al alloy. Bode plots of (<b>c</b>) frequency vs. modulus and (<b>d</b>) frequency vs. -phase angle.</p>
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<p>(<b>a</b>) Potentiodynamic polarization curves of the bare 5083 Al alloy and superhydrophobic coating-protected substrate. (<b>b</b>) Anti-corrosion mechanism of the superhydrophobic corrosion-resistant behaviors.</p>
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<p>Water droplet icing process on (<b>a</b>) bare 5083 Al alloy and (<b>b</b>) superhydrophobic coating at −10 °C low-temperature environment.</p>
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<p>CA and SA data of the superhydrophobic coating prepared on different kinds of substrates.</p>
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16 pages, 2103 KiB  
Article
A Novel Surface Passivation Method of Pyrite within Rocks in Underwater Environments to Mitigate Acid Mine Drainage at Its Source
by Lijun Fan, Tiancheng Han, Xianxing Huang, Yixuan Yang, Tao Zhu, Weiwei Zhai, Daoyong Zhang and Xiangliang Pan
Minerals 2024, 14(10), 973; https://doi.org/10.3390/min14100973 - 27 Sep 2024
Viewed by 594
Abstract
Mitigating acid mine drainage (AMD) at its source, specifically within rocks containing pyrite in underwater environments, poses a significant environmental challenge worldwide. Existing passivation techniques are primarily designed for open-air conditions, involving direct contact with coating materials at a solid–liquid interface, making them [...] Read more.
Mitigating acid mine drainage (AMD) at its source, specifically within rocks containing pyrite in underwater environments, poses a significant environmental challenge worldwide. Existing passivation techniques are primarily designed for open-air conditions, involving direct contact with coating materials at a solid–liquid interface, making them ineffective beneath a water barrier. In this study, we introduce a novel passivation method inspired by the design of underwater bio-adhesives. Tannic acid (TA) combined with polyethylene glycol (PEG) was employed to form a hydrophobic film directly on the pyrite surface, overcoming water resistance and addressing the limitations of current techniques. Electrochemical experiments and chemical leaching experiments were conducted to evaluate the oxidation resistance of the passivating films. TA–PEG-coated pyrite exhibited a lower oxidation rate and a higher static contact angle of 126.2°, achieving suppression efficiencies of 71.6% for total Fe release and 68.1% for total S release. A comprehensive characterization approach, including scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), Raman spectroscopy, and X-ray photoelectron spectroscopy (XPS), was employed to investigate the passivation mechanism. The results of this study may provide new insights into the preparation of simpler and greener passivating agents to suppress pyrite oxidation at its source in underwater environments. Full article
(This article belongs to the Section Environmental Mineralogy and Biogeochemistry)
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<p>(<b>a</b>) Nyquist plots; (<b>b</b>) equivalent electrical circuit model; (<b>c</b>) Tafel polarization curves; (<b>d</b>) CV curves. All measurements were conducted in a 0.2 M Na<sub>2</sub>SO<sub>4</sub> electrolyte with a pH value of 2.0.</p>
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<p>Effects of different passivation on the antioxidation ability of pyrite: evolution of total Fe (<b>a</b>) and total S (<b>b</b>) concentrations in leachates of uncoated and a series of coated pyrites over 48 h. Staged Fe (<b>c</b>) and total S (<b>d</b>) concentrations in uncoated pyrite and TA-5.0–PEG-coated pyrite (hereafter referred to as stages I, II, and III, with a duration of 7 days per stage); 100 mL of HCl solution (pH = 1.0) was refreshed between stages. Standard deviations (<span class="html-italic">n</span> = 3) were represented by error bars.</p>
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<p>SEM images of (<b>a</b>) uncoated pyrite; (<b>b</b>) TA-coated pyrite; (<b>c</b>) TA-0.1–PEG-coated pyrite; (<b>d</b>) TA-1.0–PEG-coated pyrite; (<b>e</b>) TA-2.0–PEG-coated pyrite; and (<b>f</b>) TA-5.0–PEG-coated pyrite.</p>
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<p>(<b>a</b>–<b>f</b>) Static water contact angles of uncoated and coated pyrites.</p>
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<p>FTIR (<b>a</b>) and Raman spectra (<b>b</b>) of uncoated pyrite, TA-coated pyrite, and TA-5.0–PEG-coated pyrite.</p>
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<p>XPS spectra of C 1s (<b>a</b>), O 1s (<b>b</b>), and Fe 2p (<b>c</b>) of uncoated pyrite, TA-coated pyrite, and TA-5.0–PEG-coated pyrite.</p>
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<p>Illustration of the formation mechanism of the TA–PEG passivating coating on the pyrite surface in water-filled mining environments.</p>
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20 pages, 8018 KiB  
Article
Biomimetic Wings for Micro Air Vehicles
by Giorgio Moscato and Giovanni P. Romano
Biomimetics 2024, 9(9), 553; https://doi.org/10.3390/biomimetics9090553 - 14 Sep 2024
Viewed by 744
Abstract
In this work, micro air vehicles (MAVs) equipped with bio-inspired wings are investigated experimentally in wind tunnel. The starting point is that insects such as dragonflies, butterflies and locusts have wings with rigid tubular elements (corrugation) connected by flexible parts (profiling). So far, [...] Read more.
In this work, micro air vehicles (MAVs) equipped with bio-inspired wings are investigated experimentally in wind tunnel. The starting point is that insects such as dragonflies, butterflies and locusts have wings with rigid tubular elements (corrugation) connected by flexible parts (profiling). So far, it is important to understand the specific aerodynamic effects of corrugation and profiling as applied to conventional wings for the optimization of low-Reynolds-number aerodynamics. The present study, in comparison to previous investigations on the topic, considers whole MAVs rather than isolated wings. A planform with a low aperture-to-chord ratio is employed in order to investigate the interaction between large tip vortices and the flow over the wing surface at large angles of incidence. Comparisons are made by measuring global aerodynamic loads using force balance, specifically drag and lift, and detailed local velocity fields over wing surfaces, by means of particle image velocimetry (PIV). This type of combined global–local investigation allows describing and relating overall MAV performance to detailed high-resolution flow fields. The results indicate that the combination of wing corrugation and profiling gives effective enhancements in performance, around 50%, in comparison to the classical flat-plate configuration. These results are particularly relevant in the framework of low-aspect-ratio MAVs, undergoing beneficial interactions between tip vortices and large-scale separation. Full article
(This article belongs to the Special Issue Biomechanics and Biomimetics for Insect-Inspired MAVs)
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<p>Details of MAV geometry and of six tested wing configurations.</p>
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<p>PIV set-up with laser arm, camera and MAV model in wind tunnel (<b>top</b>). Example of PIV-acquired images at full scale (large field of view) and reduced scale (small field of view, in red) with reference system (<b>bottom</b>).</p>
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<p>Lift and drag coefficients as functions of angle of attack for flat-plate MAV geometry. Present data are plotted for two Reynolds numbers and compared to data in [<a href="#B4-biomimetics-09-00553" class="html-bibr">4</a>,<a href="#B11-biomimetics-09-00553" class="html-bibr">11</a>].</p>
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<p>Lift and drag coefficients as functions of angle of attack for the corrugated and profiled MAV wing geometry. Present data are plotted for two Reynolds numbers and compared to data in [<a href="#B4-biomimetics-09-00553" class="html-bibr">4</a>,<a href="#B11-biomimetics-09-00553" class="html-bibr">11</a>].</p>
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<p>Lift and drag coefficients as functions of angle of attack for all tested MAV wing geometries for present large Reynolds number measurements.</p>
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<p>Lift-to-drag ratio and polar curve for all tested MAV wing geometries.</p>
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<p>The average absolute value of velocity and streamlines at an angle of attack of 15° for MAVs with the following wing configurations: flat (<b>a</b>), corrugated (<b>b</b>) and profiled (<b>c</b>). Large field of view. In the insets, detailed small-field-of-view plots are reported. Dashed lines indicate positions for velocity profiles.</p>
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<p>Average absolute value of velocity and streamlines at angle of attack of 30° for flat (<b>a</b>), corrugated (<b>b</b>) and profiled (<b>c</b>) MAV wing configurations. Large field of view. In the insets, detailed small-field-of-view plots are reported. Dashed lines indicate positions for velocity profiles.</p>
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<p>Average absolute value of velocity and streamlines at angle of attack of 36° for flat (<b>a</b>), corrugated (<b>b</b>) and profiled (<b>c</b>) MAV wing configurations. Large field of view. Dashed lines indicate positions for velocity profiles.</p>
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<p>Average (on the left) and instantaneous (on the right) vorticity for an angle of attack equal to 15°: flat-plate (row <b>a</b>), corrugated (row <b>b</b>) and profiled (row <b>c</b>) MAV configurations from top to bottom. Large field of view.</p>
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<p>Average (on the left) and instantaneous (on the right) vorticity for an angle of attack equal to 30°: flat-plate (row <b>a</b>), corrugated (row <b>b</b>) and profiled (row <b>c</b>) MAV configurations from top to bottom. Large field of view.</p>
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<p>Average <span class="html-italic">rms</span> of streamwise velocity component for angle of attack equal to 15°: flat-plate (<b>a</b>), corrugated (<b>b</b>) and profiled (<b>c</b>) MAV configurations. Large field of view. In insets, detailed small-field-of-view plots are reported. Dashed lines indicate positions for <span class="html-italic">rms</span> profiles.</p>
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<p>Average <span class="html-italic">rms</span> of streamwise velocity component for angle of attack equal to 30°: flat-plate (<b>a</b>), corrugated (<b>b</b>) and profiled (<b>c</b>) MAV configurations. Large field of view. In insets, detailed small-field-of-view plots are reported. Dashed lines indicate positions for <span class="html-italic">rms</span> profiles.</p>
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<p>Average <span class="html-italic">rms</span> of streamwise velocity component for angle of attack equal to 36°: flat-plate (<b>a</b>), corrugated (<b>b</b>) and profiled (<b>c</b>) MAV configurations. Large field of view. Dashed lines indicate positions for <span class="html-italic">rms</span> profiles.</p>
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<p>Vertical profiles of normalized streamwise velocity component at x/c = 0.3, for the three tested MAV configurations. Angles of incidence equal to 15° (<b>a</b>), 30° (<b>b</b>) and 36° (<b>c</b>).</p>
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<p>Vertical profiles of normalized streamwise velocity component at x/c = 0.6, for the three tested MAV configurations. Angles of incidence equal to 15° (<b>a</b>), 30° (<b>b</b>) and 36° (<b>c</b>).</p>
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<p>Vertical profiles of normalized <span class="html-italic">rms</span> streamwise component at x/c = 0.3, for the three tested MAV configurations. Angles of incidence equal to 15° (<b>a</b>), 30° (<b>b</b>) and 36° (<b>c</b>).</p>
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<p>Vertical profiles of normalized <span class="html-italic">rms</span> streamwise component at x/c = 0.6 for the three tested MAV configurations. Angles of incidence equal to 15° (<b>a</b>), 30° (<b>b</b>) and 36° (<b>c</b>).</p>
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13 pages, 25407 KiB  
Article
Mechanical Design of a New Hybrid 3R-DoF Bioinspired Robotic Fin Based on Kinematics Modeling and Analysis
by Eliseo de J. Cortés Torres, Luis E. García Gonzales, Luis E. Villamizar Marin and Cecilia E. García Cena
Actuators 2024, 13(9), 353; https://doi.org/10.3390/act13090353 - 11 Sep 2024
Viewed by 807
Abstract
The field of bioinspired underwater robots aims to replicate the capabilities of marine animals in artificial systems. Stingrays have emerged as highly promising species to be mimicked because of their flat body morphology and size. Furthermore, they are considered high-performance species due to [...] Read more.
The field of bioinspired underwater robots aims to replicate the capabilities of marine animals in artificial systems. Stingrays have emerged as highly promising species to be mimicked because of their flat body morphology and size. Furthermore, they are considered high-performance species due to their maneuverability, propulsion mode, and sliding efficiency. Designing and developing mechanisms to imitate their pectoral fins is a challenge for underwater robotic researchers mainly because the locomotion characteristics depend on the coordinated movement of the fins. In the state of the art, several mechanisms were proposed with 2 active rotation degrees of freedom (DoFs) to replicate fin movement. In this paper, we propose adding an additional active DoF in order to improve the realism in the robotic manta ray movement. Therefore, in this article, we present the mechanical design, modeling, and kinematics analysis of a 3-active-and-rotational-DoF pectoral fin inspired by the Mobula Alfredi or reef manta ray. Additionally, by using the kinematics model, we were able to simulate and compare the behaviour of both mechanisms, that is, those with 2 and 3 DoFs. Our simulation results reveal an improvement in the locomotion, and we hypothesized that with the third DoF, some specific missions, such as hovering or fast emergence to the surface, will have a better performance. Full article
(This article belongs to the Special Issue Bio-Inspired Soft Robotics)
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<p>The 3 DoF robotic fin mechanism and the scheme for the kinematics model: (<b>a</b>) hybrid mechanism coupled with a background representation of a manta ray (Mobula Alfredi) and (<b>b</b>) spatial hybrid mechanism representation with the 3 DoFs, where joints I, V, and VI are active, while joints II, III, and IV are passive.</p>
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<p>Fin tip location change when a force <span class="html-italic">F</span> is applied, generating a deformation angle <math display="inline"><semantics> <mo>Ψ</mo> </semantics></math> that is considered as the third DoF.</p>
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<p>The geometricrelationship parameters considering the mechanism motion plane.</p>
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<p>Sinusoidal CPG input according to [<a href="#B5-actuators-13-00353" class="html-bibr">5</a>]. (<b>a</b>) Scenario 1: a literature approach with a 2 DoF fin mechanism. (<b>b</b>) Scenario 2: a mechanism with 3 DoFs, proposed by the authors.</p>
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<p>Input signal according to [<a href="#B10-actuators-13-00353" class="html-bibr">10</a>]; manta ray natural movement; (<b>a</b>) Scenario 3: simulated movement with the third DoF switched off; (<b>b</b>) Scenario 4: the authors’ proposed mechanism with the third DoF switched on.</p>
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<p>Computer-Aided Design (CAD) description of the hybrid mechanism: (<b>a</b>) 3D model design proposed for the 2 DoF SPM; (<b>b</b>) proposed 3D model that is inclusive of the third DoF and based on a cantilever beam using compliant joints and wire to move it.</p>
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<p>Pictures of the developed fin prototype: (<b>a</b>) real prototype based on a hybrid robot. (<b>b</b>) Movement generated when applying the force described in the real prototype.</p>
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29 pages, 11129 KiB  
Article
A Bio-Inspired Sliding Mode Method for Autonomous Cooperative Formation Control of Underactuated USVs with Ocean Environment Disturbances
by Zaopeng Dong, Fei Tan, Min Yu, Yuyang Xiong and Zhihao Li
J. Mar. Sci. Eng. 2024, 12(9), 1607; https://doi.org/10.3390/jmse12091607 - 10 Sep 2024
Viewed by 571
Abstract
In this paper, a bio-inspired sliding mode control (bio-SMC) and minimal learning parameter (MLP) are proposed to achieve the cooperative formation control of underactuated unmanned surface vehicles (USVs) with external environmental disturbances and model uncertainties. Firstly, the desired trajectory of the follower USV [...] Read more.
In this paper, a bio-inspired sliding mode control (bio-SMC) and minimal learning parameter (MLP) are proposed to achieve the cooperative formation control of underactuated unmanned surface vehicles (USVs) with external environmental disturbances and model uncertainties. Firstly, the desired trajectory of the follower USV is generated by the leader USV’s position information based on the leader–follower framework, and the problem of cooperative formation control is transformed into a trajectory tracking error stabilization problem. Besides, the USV position errors are stabilized by a backstepping approach, then the virtual longitudinal and virtual lateral velocities can be designed. To alleviate the system oscillation and reduce the computational complexity of the controller, a sliding mode control with a bio-inspired model is designed to avoid the problem of differential explosion caused by repeated derivation. A radial basis function neural network (RBFNN) is adopted for estimating and compensating for the environmental disturbances and model uncertainties, where the MLP algorithm is utilized to substitute for online weight learning in a single-parameter form. Finally, the proposed method is proved to be uniformly and ultimately bounded through the Lyapunov stability theory, and the validity of the method is also verified by simulation experiments. Full article
(This article belongs to the Special Issue Autonomous Marine Vehicle Operations—2nd Edition)
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<p>Formation trajectory tracking diagram.</p>
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<p>Leader–follower framework.</p>
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<p>Flowchart of cooperative formation control for underactuated USVs.</p>
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<p>The structure diagram of the RBF neural network.</p>
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<p>Diagrams of USVs trajectory (Case 1). (<b>a</b>)with SMC; (<b>b</b>) with SMC and RBF; (<b>c</b>) with bio-SMC and RBF.</p>
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<p>Diagrams of USVs’ tracking error (Case 1). (<b>a</b>) longitudinal position error; (<b>b</b>) lateral position error.</p>
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<p>Diagrams of USVs’ control input signals (Case 1). (<b>a</b>) surge force; (<b>b</b>) yaw moment.</p>
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<p>Diagrams of USVs’ velocity variables (Case 1). (<b>a</b>) Leader USV; (<b>b</b>) Follower USV1; (<b>c</b>) Follower USV2.</p>
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<p>Diagrams of USVs’ virtual velocity variables (Case 1). (<b>a</b>) longitudinal virtual velocity; (<b>b</b>) lateral virtual velocity.</p>
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<p>Diagrams of USVs’ velocity error (Case 1). (<b>a</b>) longitudinal velocity error; (<b>b</b>) lateral velocity error.</p>
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<p>Approximation results of USVs (Case 1). (<b>a</b>) surge dynamic damping; (<b>b</b>) yaw dynamic damping.</p>
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<p>Diagrams of USVs’ trajectory (Case 2). (<b>a</b>)with SMC; (<b>b</b>) with SMC and RBF; (<b>c</b>) with bio-SMC and RBF.</p>
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<p>Diagrams of USVs’ tracking error (Case 2). (<b>a</b>) longitudinal position error; (<b>b</b>) lateral position error.</p>
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<p>Diagrams of USVs’ control input signals (Case 2). (<b>a</b>) surge force; (<b>b</b>) yaw moment.</p>
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<p>Diagrams of USVs’ velocity variables (Case 2). (<b>a</b>) Leader USV; (<b>b</b>) Follower USV1; (<b>c</b>) Follower USV2.</p>
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<p>Diagrams of USVs’ virtual velocity variables (Case 2). (<b>a</b>) longitudinal virtual velocity; (<b>b</b>) lateral virtual velocity.</p>
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<p>Diagrams of USVs’ velocity error (Case 2). (<b>a</b>) longitudinal velocity error; (<b>b</b>) lateral velocity error.</p>
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<p>Approximation results of USVs’ (Case 2). (<b>a</b>) surge dynamic damping; (<b>b</b>) yaw dynamic damping.</p>
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<p>Diagrams of USVs’ trajectory (Case 3). (<b>a</b>)with SMC; (<b>b</b>) with SMC and RBF; (<b>c</b>) with bio-SMC and RBF.</p>
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<p>Diagrams of USVs’ tracking error (Case 3). (<b>a</b>) longitudinal position error; (<b>b</b>) lateral position error.</p>
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<p>Diagrams of USVs’ control input signals (Case 3). (<b>a</b>) surge force; (<b>b</b>) yaw moment.</p>
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<p>Diagrams of USVs’ velocity variables (Case 3). (<b>a</b>) Leader USV; (<b>b</b>) Follower USV1; (<b>c</b>) Follower USV2.</p>
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<p>Diagrams of USVs’ virtual velocity variables (Case 3). (<b>a</b>) longitudinal virtual velocity; (<b>b</b>) lateral virtual velocity.</p>
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<p>Diagrams of USVs’ velocity error (Case 3). (<b>a</b>) longitudinal velocity error; (<b>b</b>) lateral velocity error.</p>
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<p>Approximation results of USVs’ (Case 3). (<b>a</b>) surge dynamic damping; (<b>b</b>) yaw dynamic damping.</p>
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<p>Diagrams of USVs’ trajectory (Case 4). (<b>a</b>) with SMC; (<b>b</b>) with SMC and RBF; (<b>c</b>) with bio-SMC and RBF.</p>
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<p>Diagrams of USVs’ tracking error (Case 4). (<b>a</b>) longitudinal position error; (<b>b</b>) lateral position error.</p>
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<p>Diagrams of USVs’ control input signals (Case 4). (<b>a</b>) surge force; (<b>b</b>) yaw moment.</p>
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<p>Diagrams of USVs’ velocity variables (Case 4). (<b>a</b>) Leader USV; (<b>b</b>) Follower USV1; (<b>c</b>) Follower USV2.</p>
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<p>Diagrams of USVs’ virtual velocity variables (Case 4). (<b>a</b>) longitudinal virtual velocity; (<b>b</b>) lateral virtual velocity.</p>
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<p>Diagrams of USVs’ velocity error (Case 4). (<b>a</b>) longitudinal velocity error; (<b>b</b>) lateral velocity error.</p>
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<p>Approximation results of USVs’ (Case 4). (<b>a</b>) surge dynamic damping; (<b>b</b>) yaw dynamic damping.</p>
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21 pages, 16002 KiB  
Article
Comparative Studies on Nanocellulose as a Bio-Based Consolidating Agent for Ancient Wood
by Anastasia Fornari, Daniele Rocco, Leonardo Mattiello, Martina Bortolami, Marco Rossi, Laura Bergamonti, Claudia Graiff, Stefania Bani, Fabio Morresi and Fabiana Pandolfi
Appl. Sci. 2024, 14(17), 7964; https://doi.org/10.3390/app14177964 - 6 Sep 2024
Viewed by 594
Abstract
In this work, nanocellulose aqueous dispersions were studied as a bio-inspired consolidating agent for the recovery and conservation of ancient wood and compared with two of the most used traditional consolidants: the synthetic resins Paraloid B-72 and Regalrez 1126. The morphology of crystalline [...] Read more.
In this work, nanocellulose aqueous dispersions were studied as a bio-inspired consolidating agent for the recovery and conservation of ancient wood and compared with two of the most used traditional consolidants: the synthetic resins Paraloid B-72 and Regalrez 1126. The morphology of crystalline nanocellulose (CNC), determined using Scanning Electron Microscopy (SEM), presents with a rod-like shape, with a size ranging between 15 and 30 nm in width. Chemical characterization performed using the Fourier-Transform Infrared Spectroscopy (FT-IR) technique provides information on surface modifications, in this case, demonstrating the presence of only the characteristic peaks of nanocellulose. Moreover, conductometric, pH, and dry matter measurements were carried out, showing also in this case values perfectly conforming to what is found in the literature. The treated wood samples were observed under an optical microscope in reflected light and under a scanning electron microscope to determine, respectively, the damage caused by xylophages and the morphology of the treated surfaces. The images acquired show the greater similarity of the surfaces treated with nanocellulose to untreated wood, compared with other consolidating agents. Finally, a colorimetric analysis of these samples was also carried out before and after a first consolidation treatment, and after a second treatment carried out on the same samples three years later. The samples treated with CNC appeared very homogeneous and uniform, without alterations in their final color appearance, compared to other traditional synthetic products. Full article
(This article belongs to the Special Issue Advanced Technologies in Cultural Heritage)
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<p>SEM micrograph of CNC.</p>
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<p>FTIR spectrum of CNC.</p>
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<p>Wood samples treated with CNC (A), Paraloid B-72 (B), and Regalrez 1126 (C), and samples untreated (NT) during the processes of impregnation: (<b>1</b>) before treatment; (<b>2</b>) immediately after; (<b>3</b>) after 19 h; and (<b>4</b>) after 50 days.</p>
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<p>Detailed images of samples treated with (<b>a</b>) CNC, (<b>b</b>) Paraloid B-72, and (<b>c</b>) Regalrez 1126, immediately after application.</p>
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<p>Reflected light microscope images of samples that were not-treated (NT) and those treated with CNC (A), Paraloid B-72 (B), and Regalrez 1126 (C). Images with UV light and 5× magnification (<b>a</b>,<b>c</b>,<b>e</b>,<b>g</b>); images with visible light and 2.5× magnification (<b>b</b>,<b>d</b>,<b>f</b>,<b>h</b>). White arrows indicate in all samples the signs of degradation due to the action of xylophagous insects.</p>
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<p>Reflectance spectra of untreated (NT) and treated samples (CNC, Paraloid B-72, Regalrez 1126), acquired in SCI and SCE mode 24 h after the consolidation treatment.</p>
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<p>Reflectance spectra of untreated (NT) and treated samples (CNC, Paraloid B-72, Regalrez 1126), acquired in SCI and SCE mode, one month after the consolidation treatment.</p>
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<p>Reflectance spectra of untreated (NT) and treated samples (CNC, Paraloid B-72, Regalrez 1126), acquired in SCI and SCE mode, three years after the first consolidating treatment.</p>
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<p>Reflectance spectra of untreated (NT) and treated samples (CNC, Paraloid B-72, Regalrez 1126), acquired in SCI and SCE mode, one week after the second consolidating treatment, carried out three years after the first treatment.</p>
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<p>SEM images of untreated wood sample; cross section in correspondence of a woodworm hole (<b>a</b>); longitudinal sections (<b>b</b>,<b>c</b>); magnification of a fiber channel (<b>c</b>).</p>
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<p>SEM images of untreated sample (<b>1</b>) and of the consolidant coating films of CNC (<b>2</b>), Paraloid B-72 (<b>3</b>), and Regalrez 1126 (<b>4</b>).</p>
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<p>SEM images of longitudinal section of wood samples, where it is possible to see the fibers channels: untreated sample (<b>1</b>); sample treated with CNC (<b>2</b>), Paraloid B-72 (<b>3</b>), Regalrez 1126 (<b>4</b>).</p>
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12 pages, 5880 KiB  
Article
Preparation of Aluminum-Based Superhydrophobic Surfaces for Fog Collection by Bioinspired Sarracenia Microstructures
by Yunjie Guo, Jie Li, Lisheng Ma, Wentian Shi, Yuke Wang, Shuo Fu and Yanning Lu
Biomimetics 2024, 9(9), 535; https://doi.org/10.3390/biomimetics9090535 - 4 Sep 2024
Viewed by 662
Abstract
Freshwater shortage is a growing problem. Inspired by the Sarracenia trichome fog-trapping and ultrafast water-transport structure, a series of hierarchical textured surfaces with high-low ribs with different wettabilities was prepared based on laser processing combined with dip modification. Through fog-collection performance tests, it [...] Read more.
Freshwater shortage is a growing problem. Inspired by the Sarracenia trichome fog-trapping and ultrafast water-transport structure, a series of hierarchical textured surfaces with high-low ribs with different wettabilities was prepared based on laser processing combined with dip modification. Through fog-collection performance tests, it was found that the samples with superhydrophobicity and low adhesion had the best fog-collection effect. In addition, it was observed that the fog-collection process of different microstructured samples was significantly different, and it was analysed that the fog-collection process was composed of two aspects: directional condensation and directional transport of droplets, which were affected by the low ribs number and rib height ratio. A design parameter was given to create the Sarracenia trichome-like structure to achieve a fast water transport mode. This study provides a good reference for the development and preparation of fog-collection surfaces. Full article
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<p>The schematic diagram of the experimental procedure.</p>
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<p>SEM images of the sample surface. (<b>a</b>) Top view of samples A1, B1, and C1. (<b>b</b>) Top view of samples B1, B3, and B5. (<b>c</b>) Front view of samples W and B1.</p>
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<p>3D morphology of the sample surface. (<b>a</b>) Extraction area and 3D morphology. (<b>b</b>) Contour curve of the extracted profiles. (<b>c</b>) Structural parameters. (<b>d</b>) Coefficient of the rib height difference in the microchannel. Where <span class="html-italic">H</span> is High rib height, <span class="html-italic">h</span> is Low rib height, and <span class="html-italic">w</span> is Microchannel width.</p>
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<p>The schematic diagram of the fog-collection test device.</p>
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<p>Wettability of sample surface. (<b>a</b>) Static contact angle. Samples from A to C with different number of low ribs from 2 to 4. (<b>b</b>) Low adhesion. (<b>c</b>) Rolling on the inclined surface.</p>
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<p>SEM images of sample and EDS elemental analysis of Al, Mg, Zn, O, Cu, F, Si. (<b>a</b>) Sample V. (<b>b</b>) Sample W.</p>
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<p>Weights of fog collection and change curves of different samples in 30 min. (<b>a</b>) Graphs of weights of fog collection at 30 min. (<b>b</b>,<b>c</b>) Graphs of change curves of fog collection in 30 min.</p>
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<p>Fog-collection process for different samples.</p>
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<p>Effect of water film shape on fog collection.</p>
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13 pages, 4795 KiB  
Article
Natural Selection on Hydroxyapatite Fiber Orientations for Resisting Damage of Enamel
by Junfu Shen, Haiyan Xin, Xiaopan Li, Yiyun Kong, Siqi Zhu, Yuankai Zhou, Yujie Fan and Jing Xia
Coatings 2024, 14(9), 1122; https://doi.org/10.3390/coatings14091122 - 2 Sep 2024
Viewed by 597
Abstract
Teeth have excellent mechanical properties, with high wear resistance and excellent fracture resistance. This is due to their well-organized multilevel hierarchical structure. While a number of studies in the last decades have revealed the relationship between tooth structure and mechanical properties, there is [...] Read more.
Teeth have excellent mechanical properties, with high wear resistance and excellent fracture resistance. This is due to their well-organized multilevel hierarchical structure. While a number of studies in the last decades have revealed the relationship between tooth structure and mechanical properties, there is still no general agreement on how different orientations of hydroxyapatite (HAp) fibers affect the mechanical properties of enamel. With a scanning electron microscope and nanoindenter, the orientations of HAp fibers and their properties were investigated. HAp fibers have two different orientations: parallel and perpendicular to the surface. Fibers oriented parallel to the surface exhibited higher hardness, elastic modulus and wear resistance. Under applied force, fibers oriented perpendicular to the surface suffered deeper shearing in the protein along the long axis, resulting in lower mechanical properties. Teeth resist damaging fractures by combining hard and soft structures. This study may lead to new insights into how nature selects for tooth structure and provide a theoretical basis for the bioinspired design. Full article
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<p>Schematic diagram of the test area and nanoscratch test. (<b>A</b>) Schematic diagram of the occlusal surface and longitudinal section of enamel. (<b>B</b>) Schematic diagram of the preparation direction of the scratch, with the upper illustration showing the SEM topography of the tip (IR: inter-rod enamel; R: enamel rod).</p>
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<p>The orientations of HAp fibers in the inter-rod enamel (IR) and the enamel rod (R) in the outer enamel. (<b>A</b>) Occlusal surface. (<b>B</b>) Longitudinal section. (<b>C</b>) Stereoscopic diagram of the orientations of HAp fibers.</p>
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<p>Observation of mechanical behaviors in enamel rod and inter-rod enamel on the occlusal surface under indentation tests. (<b>A</b>) Images of indentations in enamel surface. (<b>B</b>) Force–displacement curves of the indentations located in enamel rods and inter-rods enamel in (<b>A</b>). (<b>C</b>) Comparison of hardness and elastic modulus of the enamel rods and inter-rods enamel (* <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Observation of mechanical behaviors in enamel rod and inter-rod enamel on the longitudinal section under indentation tests. (<b>A</b>) Images of indentations in enamel surface. (<b>B</b>) Force–displacement curves of the indentations located in enamel rod and inter-rod enamel in (<b>A</b>). (<b>C</b>) Comparison of hardness and elastic modulus of enamel rod and inter-rod enamel (* <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Friction–displacement curve of tooth enamel corresponding to scratch damage. (<b>A</b>) Occlusal surface. (<b>B</b>) Longitudinal section.</p>
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<p>Observation of wear behavior in enamel rod and inter-rod enamel on the occlusal surface by scratch tests under normal load of 0.5 mN. (<b>A</b>) Image of scratch-induced damage in occlusal surface. (<b>B</b>,<b>C</b>) Details of the scratch in (<b>A</b>). (<b>D</b>) Cross-sectional profile of the scratches in (<b>B</b>,<b>C</b>).</p>
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<p>Observation of wear behaviors in enamel rod and inter-rod enamel on the longitudinal section by scratching tests under normal load of 0.5 mN. (<b>A</b>) Image of scratch-induced damage in longitudinal section. (<b>B</b>,<b>C</b>) Details of the scratch in (<b>A</b>). (<b>D</b>) Cross-sectional profile of the scratches in (<b>B</b>,<b>C</b>).</p>
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<p>The force analysis of the different aligned HAp fibers under indentation tests. (<b>A</b>) Stereoscopic diagram of indentation positions. (<b>B</b>) Indentation direction diagram. (<b>C</b>) HAp fibers deformation diagram.</p>
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<p>The force analysis of the different aligned HAp fibers under scratch tests. (<b>A</b>) Stereoscopic diagram of scratch positions. (<b>B</b>) Scratch direction diagram. (<b>C</b>) HAp fibers deformation diagram.</p>
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