Novel Advances in Computational Fluid Mechanics (CFM)

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Fluid Science and Technology".

Deadline for manuscript submissions: 31 October 2024 | Viewed by 2561

Special Issue Editors


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Guest Editor
Department of Engineering and System Science, National Tsing Hua University, Hsinchu 30013, Taiwan
Interests: CFD modeling and application; two-phase and boiling heat transfer; steam generator integrity assessment; nuclear safety analysis; erosion and corrosion; deep disposal of high-level radioactive waste; wind turbine design and noise reduction analysis
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Guest Editor
Department of Engineering and System Science, National Tsing Hua University, Hsinchu 30013, Taiwan
Interests: modeling and heat flow calculation methods; low-carbon fuel cracking and combustion; suspended particulate filtration; battery heat dissipation; hemodynamics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We invite submissions exploring cutting-edge research and recent advances to this Special Issue, entitled “Novel Advances in Computational Fluid Mechanics (CFM)”. Novel advances in computational methodologies (advanced numerical, AI methods, etc.) and applications (boiling, nanofluids, phase change material PCM, etc.) related to engineering are pertinent to this Special Issue.

Hydrodynamics, turbulence flow, multiphase flow, gas dynamics, rheology, tribology, fluid–structure interaction, nanofluid, etc., belong to the definition of fluid in NACFM, given that computational methodologies and models play an essential role in studies in the field. NACFM favor applications on energy (renewable energy, nuclear energy, next-generation energy, and energy conversion and saving), chemical reactors and transport processes, ocean/atmospheric pollution, biomedicine, geological disposal, performance-based fire protection, flow-accelerated corrosion, structure integrity, and air/sea/land vehicles, among others. Benchmark solutions and comprehensive paper reviews are also within the scope of this Special Issue.

Prof. Dr. Yuh-Ming Ferng
Prof. Dr. Kuang C. Lin
Guest Editors

Manuscript Submission Information

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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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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

  • CFD
  • artificial intelligence in CFD
  • computational and numerical methodology
  • energy application
  • chemical application
  • two-phase flow and boiling heat transfer
  • flow-structure interaction
  • nanofluid
  • phase change material

Published Papers (4 papers)

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Research

17 pages, 4962 KiB  
Article
Inversion of the Permeability Coefficient of a High Core Wall Dam Based on a BP Neural Network and the Marine Predator Algorithm
by Junrong Duan and Zhenzhong Shen
Appl. Sci. 2024, 14(10), 4008; https://doi.org/10.3390/app14104008 - 8 May 2024
Viewed by 456
Abstract
The parameters’ inversion of saturated–unsaturated is important in ensuring the safety of earth dams; many scholars have conducted some research regarding the inversion of hydraulic conductivity based on seepage pressure monitoring data. The van Genuchten model is widely used in saturated–unsaturated seepage analysis, [...] Read more.
The parameters’ inversion of saturated–unsaturated is important in ensuring the safety of earth dams; many scholars have conducted some research regarding the inversion of hydraulic conductivity based on seepage pressure monitoring data. The van Genuchten model is widely used in saturated–unsaturated seepage analysis, which considers the permeability connected to the water content of the soil and the soil’s shape parameters. A BP neural artificial network is a mature prediction technique based on enough data, and the marine predator algorithm is a new nature-inspired metaheuristic inspired by the movement of animals in the ocean. The BP neural artificial network and marine predator algorithm are applied in the permeability coefficient inversion of a core-rock dam in China; the results show that in the normal operation status, the BP network shows better accuracy, and the average of the absolute error and variance of the absolute error are both minimum values, which are 2.21 m and 1.43 m, respectively. While the water storage speed changes, the marine predator algorithm shows better accuracy; the objective function is calculated to be 0.253. So, the marine predator algorithm is able to accurately reverse the desired results in some situations. According to the actual condition, employing suitable methods for the inverse permeability coefficient of a dam can effectively ensure the safe operation of dams. Full article
(This article belongs to the Special Issue Novel Advances in Computational Fluid Mechanics (CFM))
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17 pages, 8866 KiB  
Article
Study on Flow Characteristics of Venturi Accelerated Vortex Drainage Tool in Horizontal Gas Well
by Hongtao Zhang, Yan Xu, Meng Cai, Junliang Li, Mingxi Feng and Xiaochuan Zhang
Appl. Sci. 2024, 14(7), 2944; https://doi.org/10.3390/app14072944 - 31 Mar 2024
Viewed by 534
Abstract
Vortex drainage gas recovery has been used to carry liquid from gas wells. However, the traditional vortex tools in gas wells cannot produce long effective distance spiral flow at a low gas flow rate, and their operating mechanism has not been thoroughly analyzed. [...] Read more.
Vortex drainage gas recovery has been used to carry liquid from gas wells. However, the traditional vortex tools in gas wells cannot produce long effective distance spiral flow at a low gas flow rate, and their operating mechanism has not been thoroughly analyzed. In this paper, the venturi acceleration vortex tool for a horizontal gas well is designed to improve drainage performance. The tube drainage, the vortex tool, and the venturi accelerated vortex tool were applied in a horizontal tube to investigate their drainage capacities by a horizontal well multiphase flow experimental device. The influence of different gas flow rates and liquid flow rates on the length of the spiral flow and pressure drop produced by the three tools was analyzed. The results show that the vortex tool can convert the gas–liquid mixing flow into the gas–liquid separation flow, that is, the liquid flows spirally along the wall and the gas flows in the center of the horizontal tube. Compared with the vortex tool, the venturi accelerated vortex tool can form a longer and more stable spiral flow. The laminar spiral flow reduces the total pressure drop in the tube. The length of the spiral flow increases with the increase in the gas flow rate. With the increase in the liquid flow rate, the spiral flow is not clear because of the turbulent flow. The length of the spiral flow and the pressure drop for the venturi accelerated vortex tool with different gas and liquid flow rates are analyzed to guide the application of the tool. This study provides a new means for the drainage of a horizontal gas well and further clarifies the working mechanism of the vortex drainage tool. Full article
(This article belongs to the Special Issue Novel Advances in Computational Fluid Mechanics (CFM))
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20 pages, 4467 KiB  
Article
Influence of Frictional Stress Models on Simulation Results of High-Pressure Dense-Phase Pneumatic Conveying in Horizontal Pipe
by Shengxian Ding, Haijun Zhou, Wenying Tang, Ruien Xiao and Jiaqi Zhou
Appl. Sci. 2024, 14(5), 2031; https://doi.org/10.3390/app14052031 - 29 Feb 2024
Viewed by 515
Abstract
Based on the two-fluid model, a three-zone drag model was developed, and the kinetic theory of granular flows and the Schneiderbauer solids wall boundary model were modified to establish a new three-dimensional (3D) unsteady mathematical model for high-pressure dense-phase pneumatic conveying in horizontal [...] Read more.
Based on the two-fluid model, a three-zone drag model was developed, and the kinetic theory of granular flows and the Schneiderbauer solids wall boundary model were modified to establish a new three-dimensional (3D) unsteady mathematical model for high-pressure dense-phase pneumatic conveying in horizontal pipe. With this mathematical model, the influence of the three frictional stress models, namely Dartevelle frictional stress model, Srivastava and Sundaresan frictional stress model, and the modified Berzi frictional stress model, on the simulation result was explored. The simulation results showed that the three frictional stress models accurately predicted the pressure drop and its variations with supplementary gas in the horizontal pipe, with relative errors ranging from −4.91% to +7.60%. Moreover, the predicted solids volume fraction distribution in the cross-section of the horizontal pipe using these frictional stress models exhibited good agreement with the electrical capacitance tomography (ECT) images. Notably, the influence of the three frictional stress models on the simulation results was predominantly observed in the transition region and deposited region. In the deposited region, stronger frictional stress resulting in lower solids volume fraction and a higher pressure drop in the horizontal pipe were observed. Among the three frictional stress models, the simulation results with the modified Berzi frictional stress model aligned better with the experimental data. Therefore, the modified Berzi frictional stress model is deemed more suitable for simulating high-pressure dense-phase pneumatic conveying in horizontal pipe. Full article
(This article belongs to the Special Issue Novel Advances in Computational Fluid Mechanics (CFM))
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16 pages, 5451 KiB  
Article
Enhancing Friction Models for Starting Up Water Installations Containing Trapped Air
by Vicente S. Fuertes-Miquel, Alfonso Arrieta-Pastrana and Oscar E. Coronado-Hernández
Appl. Sci. 2023, 13(20), 11279; https://doi.org/10.3390/app132011279 - 13 Oct 2023
Viewed by 630
Abstract
Starting up water installations is typically a task that falls within the purview of water utility companies. These operations involve the presence of two separate fluids (water and air) that can be analyzed in terms of consideration two distinct behaviors (hydraulic and thermodynamic). [...] Read more.
Starting up water installations is typically a task that falls within the purview of water utility companies. These operations involve the presence of two separate fluids (water and air) that can be analyzed in terms of consideration two distinct behaviors (hydraulic and thermodynamic). During a filling process, trapped air pockets exhibit a trend of declining volume, generating pressure surges that are typically not addressed under current worldwide regulations. This research introduces an innovative mathematical approach based on physical equations to investigate filling operations in water installations involving trapped air, incorporating an unsteady friction model (using the Brunone friction coefficient), in combination with the rigid water column model. The validation of the proposed model is carried out in an experimental facility measuring 7.36 m in length. The proposed model is then applied to a case study involving a 460 m long pipeline with an internal pipe diameter of 150 mm, featuring an undulating profile composed of three branches, to demonstrate how the gravity term should be calculated in real-world water installations. The results showed that the proposed model, considering an unsteady friction model, is suitable for simulating the start up of water pipelines for the experimental facility analysis and the case study. The Swamee–Jain formula yielded the best results compared to other formulations for computing the friction factor. Full article
(This article belongs to the Special Issue Novel Advances in Computational Fluid Mechanics (CFM))
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