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10th Anniversary of Fluids—Recent Advances in Fluid Mechanics

A special issue of Fluids (ISSN 2311-5521).

Deadline for manuscript submissions: 31 December 2026 | Viewed by 1093

Special Issue Editor


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Guest Editor
Department of Mechanical Engineering, University of Bath, Bath BA2 7AY, UK
Interests: convection; porous media; instability; numerical simulation; asymptotic analysis; non-Newtonian fluids
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In 2026, we will be celebrating the 10th anniversary of the journal Fluids (ISSN: 2311-5521), and we would be happy if you join us on this wonderful occasion.

Fluids is an international, peer-reviewed, quick-refereeing open access journal published online by MDPI, Basel, Switzerland. Fluids published its first paper in December 2015 and published its inaugural issue in 2016. Fluids has been successfully indexed in Emerging Sources Citation Index (ESCI, Web of Science ) since 2017 and Scopus (Elsevier) since 2019. The journal received its impact factor of 1.8 and CiteScore of 3.4 in 2024 and we have published more than 2000 papers with a continued growth of attention from the community.

To mark this significant milestone, we are launching a Special Issue entitled “10th Anniversary of Fluids—Recent Advances in Fluid Mechanics”. This Special Issue will include high-quality papers on topics within the broad scope of Fluids. It is our pleasure to invite you to contribute an original research paper or a comprehensive review article on a trendy or hot topic for peer review and possible publication.

Papers submitted to this SI must fit the aims and scope of the journal Fluids (https://www.mdpi.com/journal/fluids/about).

Prof. Dr. D. Andrew S. Rees
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Fluids is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • artificial intelligence in fluid mechanics
  • biofluid mechanics
  • coherent vortical structures in fluids
  • marine hydrodynamics
  • multiphase flows
  • shock waves
  • turbulence modelling and simulation
  • wind-turbine aerodynamics
  • stability theory in fluid mechanics
  • geophysical fluid dynamics
  • granular/suspension flows
  • heat and mass transfer
  • magneto-hydrodynamics (MHD)
  • nanofluids and microfluids
  • Newtonian and non-Newtonian fluids
  • polymers
  • rheology
  • tribology/lubrication

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Published Papers (2 papers)

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Research

15 pages, 7060 KiB  
Article
Investigation of Microjet Engine Inlet Pressure Distortions at Angled Inflow Velocity Conditions
by Santiago Sanchez Villacreses, Jun Yao, Yufeng Yao and Budi Chandra
Fluids 2025, 10(2), 49; https://doi.org/10.3390/fluids10020049 - 13 Feb 2025
Abstract
The Armfield CM14 microjet axial flow turbine engine has been tested in open space at ambient conditions with engine inlet pressure at the aerodynamic interface plane (AIP) measured by a built-in pressure sensor for validating computational fluid dynamics (CFD) studies. A three-dimensional computational [...] Read more.
The Armfield CM14 microjet axial flow turbine engine has been tested in open space at ambient conditions with engine inlet pressure at the aerodynamic interface plane (AIP) measured by a built-in pressure sensor for validating computational fluid dynamics (CFD) studies. A three-dimensional computational domain of the test engine intake duct configuration is defined, followed by mesh convergence studies. The latter results in a fine mesh of 5.7 million cells on which CFD-predicted engine inlet pressures are in good agreement with the experimental measurements at the AIP face for 20–100% throttles. CFD studies are continued to investigate the engine inlet pressure distortions at two inflow velocities of 35 m/s and 70 m/s, and various inflow angles ranging from 0° to 30° with a step of 5°, to evaluate their impacts on engine inlet pressure distortions. It is found that pressure distortions increase with the inflow angle, with severe pressure distortions occurring at higher inflow angles above 15°. At the same flow conditions of inflow angle and velocity, pressure distortions from an intake with a flat lip are overall higher than those of a bell-mouth round lip. This is primarily due to a rapid geometry change at the intake entrance causing large vortical flow motions, accompanied by local flow separations at higher inflow angles, therefore impacting the downstream flow field towards the engine inlet. Full article
(This article belongs to the Special Issue 10th Anniversary of Fluids—Recent Advances in Fluid Mechanics)
Show Figures

Figure 1

Figure 1
<p>A sketch of the Armfield CM14 gas turbine engine with sensor points (not to scale).</p>
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<p>Original intake. (<b>a</b>) Injection nozzle with flat lip; (<b>b</b>) half a nozzle with inner geometry shape.</p>
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<p>Bell-mouth intake. (<b>a</b>) Injection nozzle with round lip; (<b>b</b>) half a nozzle with inner geometry shape.</p>
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<p>A 2D cross-section plane of 3D CFD domain (not to scale). (<b>a</b>) Case 1—flat lip; (<b>b</b>) case 2—bell-mouth round lip.</p>
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<p>Polyhedral meshes at cross-section plane for 3D intake with flat lip.</p>
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<p>Polyhedral mesh at cross-section plane for 3D intake with bell-mouth round lip.</p>
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<p>CFD-predicted static gauge pressure variation with number of mesh elements at 100% engine throttle and ambient conditions. (<b>a</b>) Case 1—flat lip; (<b>b</b>) case 2—bell-mouth round lip.</p>
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<p>The ratio of averaged static gauge pressure and ambient pressure at the AIP face as a function of throttle. Comparison of the experimental data and CFD results: (<b>a</b>) flat lip (case 1); (<b>b</b>) bell-mouth round lip (case 2).</p>
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<p>Pressure contours at the AIP face with flat lip intake at various inflow angles and a velocity of 35 m/s.</p>
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<p>Pressure contours at the AIP face with flat lip intake at various inflow angles and a velocity of 70 m/s.</p>
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<p>Pressure contours at the AIP face with a bell-mouth round lip intake at various inflow angles and a velocity of 35 m/s.</p>
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<p>Pressure contours at the AIP face with a bell-mouth round lip intake at various inflow angles and a velocity of 70 m/s.</p>
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<p>Comparison of distortion coefficient DC60 at the AIP face with two inflow velocities and various inflow angles from 0° to 30°. (<b>a</b>) Intake with flat lip; (<b>b</b>) intake with bell-mouth round lip.</p>
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24 pages, 6073 KiB  
Article
Measurements of Wake Concentration from the Continuous Release of a Dense Fluid Upstream of a Cubic Obstacle
by Romana Akhter and Nigel B. Kaye
Fluids 2025, 10(2), 46; https://doi.org/10.3390/fluids10020046 - 11 Feb 2025
Abstract
Results are presented from a series of small-scale laboratory experiments designed to model dense gas dispersion around an isolated cuboid building. Experiments were conducted for a broad range of flow Richardson numbers and source discharge rates, and the concentration field in the wake [...] Read more.
Results are presented from a series of small-scale laboratory experiments designed to model dense gas dispersion around an isolated cuboid building. Experiments were conducted for a broad range of flow Richardson numbers and source discharge rates, and the concentration field in the wake of the building was measured using light-induced fluorescence (LIF). Results show that, for low Richardson numbers, the concentration of dense fluid in the wake decreases slightly with distance above the ground. However, for Richardson numbers above Ri3, the vertical variation is qualitatively different, as a dense lower layer forms in the wake and the concentration above the layer is much lower than for the lower Ri experiments. For these higher Richardson number flows, the primary mechanism by which dense fluid is flushed from the building wake is by the wake flow skimming dense fluid from the top of the lower layer and then moving it upstream toward the building’s leeward face. It is then transported up the leeward face of the building and then downstream. The results also generally show that, as the release rate of dense fluid increases, the density and thickness of the lower layer increases. The LIF measurements and a series of visualization experiments highlight the complex interaction of a dense fluid discharge with the wake structure behind a building. Full article
(This article belongs to the Special Issue 10th Anniversary of Fluids—Recent Advances in Fluid Mechanics)
Show Figures

Figure 1

Figure 1
<p>Thorney Island phase II trial 26. (<b>a</b>) Photograph of the setup (reprinted with permission from [<a href="#B28-fluids-10-00046" class="html-bibr">28</a>], 1985, Elsevier) and dense gas concentration measurements on the front and rear of the model building for (<b>b</b>) a release upwind of the building and (<b>c</b>) a release downwind of the building. Replotted with permission from [<a href="#B31-fluids-10-00046" class="html-bibr">31</a>], 2004, Elsevier.</p>
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<p>Top view (<b>a</b>) and side view (<b>b</b>) of the experimental setup.</p>
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<p>(<b>a</b>) Velocity profile and corresponding fit. (<b>b</b>) Turbulent intensity profile at four different pump frequencies (f) given in Hertz in the legends.</p>
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<p>Measured mean intensity vs concentration calculated in the test window.</p>
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<p>Contour plots of <math display="inline"><semantics> <mrow> <mrow> <mrow> <msub> <mrow> <mi mathvariant="normal">log</mi> </mrow> <mrow> <mn>10</mn> </mrow> </msub> </mrow> <mo>⁡</mo> <mrow> <mi>Γ</mi> </mrow> </mrow> </mrow> </semantics></math> for different Richardson numbers and flow rates for a square window the height of the block. (<b>a</b>) <span class="html-italic">Ri</span> = 1, <span class="html-italic">Q</span> = 500 mL/min; (<b>b</b>) <span class="html-italic">Ri</span> = 8.7, <span class="html-italic">Q</span> = 500 mL/min; (<b>c</b>) <span class="html-italic">Ri</span> = 25.7, <span class="html-italic">Q</span> = 500 mL/min; and (<b>d</b>) <span class="html-italic">Ri</span> = 8, <span class="html-italic">Q</span> = 200 mL/min.</p>
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<p>Time-averaged vertical profiles of <math display="inline"><semantics> <mrow> <mi>Γ</mi> </mrow> </semantics></math> at <math display="inline"><semantics> <mrow> <mi>χ</mi> </mrow> </semantics></math> = 0.1 downstream of the cube for different Richardson numbers and a flow rate of 400 mL/min. (<b>a</b>) Richardson numbers from 0.7 to 4.0 and (<b>b</b>) Richardson numbers from 6.0 to 37. Note that the two horizontal axes are different.</p>
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<p>Time-averaged vertical profiles of <math display="inline"><semantics> <mrow> <mi>Γ</mi> </mrow> </semantics></math> at <math display="inline"><semantics> <mrow> <mi>χ</mi> </mrow> </semantics></math> = 0.1 downstream of the cube for different Richardson numbers and a flow rate of 400 mL/min, showing only the bottom 10% of the cube height.</p>
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<p>Time-averaged vertical profiles of <math display="inline"><semantics> <mrow> <mi>Γ</mi> <mo> </mo> </mrow> </semantics></math> at <math display="inline"><semantics> <mrow> <mi>χ</mi> <mo> </mo> </mrow> </semantics></math>= 0.1 downstream of the cube for Richardson number <span class="html-italic">Ri</span> = 8.7 and different flow rates. (<b>a</b>) Full height and (<b>b</b>) bottom 20% of the cube height.</p>
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<p>Time series of concentrations for different Richardson numbers and different window sizes. Data are for a location <math display="inline"><semantics> <mrow> <mi>η</mi> <mo>=</mo> <mn>0.1</mn> </mrow> </semantics></math> above the floor and <math display="inline"><semantics> <mrow> <mi>χ</mi> <mo>=</mo> <mn>0.1</mn> </mrow> </semantics></math> downstream of the building and a steady flow rate of 500 mL/min. Window sizes are, from left to right, a single pixel, 1 mm, 2 mm, and 4 mm. Richardson numbers are, from top to bottom, <span class="html-italic">Ri</span> = 1, 8.7, and 25.7.</p>
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<p>Plot of the mean (<b>a</b>) and standard deviation (<b>b</b>) of concentration and as a function of average window size. Data for a location 1 cm above the floor and 1 cm downstream of the building and a steady flow rate of 400 mL/min and a range of <span class="html-italic">Ri</span> (see legend).</p>
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<p>Plot of the mean (<b>a</b>) and standard deviation (<b>b</b>) of concentration and as a function of source Richardson number for different source flow rates. Data for a location 1 cm above the floor and 1 cm downstream of the building. Q = 400 mL/min—circle and Q = 200 mL/min—solid square.</p>
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<p>Plot of the coefficient of variation as a function of Richardson number for different flow rates (Q). Q = 400 mL/min—circle and Q = 200 mL/min—solid square.</p>
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<p>Plot of the mean (<b>a</b>) and standard deviation (<b>b</b>) of concentration and as a function of source flow rate for different Richardson numbers. Data for a location 1 cm above the floor and 1 cm downstream of the building. <span class="html-italic">Ri</span> = 1—square, <span class="html-italic">Ri</span> = 8.7—circle, and <span class="html-italic">Ri</span> = 25.7—diamond.</p>
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<p>Schematic diagram of some features of the flow in the wake of a surface-mounted cube showing the horseshoe vortex (dashed lines) and reverse flow back toward the cube. Adapted with permission from Gillies et al. [<a href="#B52-fluids-10-00046" class="html-bibr">52</a>] 2021, Springer Nature.</p>
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<p>Images from a series of finite release flow visualization experiments taken every 5 s for a range of Richardson numbers.</p>
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