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Finite Element Method and Computational Techniques for Industrial Processes
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Finite Element Method and Computational Techniques for Industrial Processes

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "AI-Enabled Process Engineering".

Deadline for manuscript submissions: 19 January 2026 | Viewed by 1205

Special Issue Editors

Dr. Zhanshu He

E-Mail Website
Guest Editor
School of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou 450001, China
Interests: finite element simulation; numerical analysis; digital design; intelligent manufacturing
Prof. Dr. Shen-Haw Ju

E-Mail Website
Guest Editor
Department of Civil Engineering, National Cheng Kung University, Tainan 70101, Taiwan
Interests: dynamics of moving trains; finite element method; structural analysis and design of offshore wind turbine support structures
Dr. Shusen Zhao

E-Mail Website
Co-Guest Editor
School of Mechanical Engineering, Zhengzhou University of Aeronautics, Zhengzhou 450046, China
Interests: finite element simulation; surface modification technology; welding of medium-thick aluminum alloy
Dr. Peizhuo Wang

E-Mail Website
Co-Guest Editor
School of Mechanical Engineering, Henan University of Engineering, Zhengzhou 451191, China
Interests: new energy vehicles; lightweight; thermal management

Special Issue Information

Dear Colleagues,

The finite element method and computational techniques have been widely used in industrial processes for analyzing mechanical properties, heat transfer performance, electromagnetic properties, flow characteristics, etc. Today, the rapid development of industrial processing technology has placed greater demands on the finite element method and computational techniques. Therefore, it is necessary to organize a Special Issue to promote the application of the finite element method and computational techniques in industrial processes.

This Special Issue, “Finite Element Method and Computational Techniques for Industrial Processes”, seeks high-quality works focusing on the latest advances regarding modeling, simulation, optimization, and maintenance in industrial processes. The topics within the scope of the issue include, but are not limited to, the following:

  • Application of the finite element method and computational techniques in  mechanical industrial processes;
  • Application of the finite element method and computational techniques in electric power industrial processes;
  • Application of the finite element method and computational techniques in metallurgical industrial processes;
  • Application of the finite element method and computational techniques in mining industrial processes;
  • Application of the finite element method and computational techniques in automobile industrial processes.

Dr. Zhanshu He
Prof. Dr. Shen-Haw Ju
Guest Editors

Dr. Shusen Zhao
Dr. Peizhuo Wang
Co-Guest Editors

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. Processes 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 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

  • finite element simulation
  • computational techniques
  • digital design
  • industrial processes
  • intelligent manufacturing

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

15 pages, 6257 KB  
Article
CFD Simulation of Flow and Heat Transfer of V-Shaped Wavy Microchannels
by Shuzhen Mi, Mengting Chen, Tianyu Li and Lin Yang
Processes 2025, 13(9), 2865; https://doi.org/10.3390/pr13092865 - 8 Sep 2025
Viewed by 327
Abstract
Due to its high heat transfer property, microchannel heat sink has been widely applied in thermal management, microelectronic cooling and energy conversion. To develop a microchannel heat sink featuring low pressure drop ΔP and a high heat transfer property, a V-shaped wavy [...] Read more.
Due to its high heat transfer property, microchannel heat sink has been widely applied in thermal management, microelectronic cooling and energy conversion. To develop a microchannel heat sink featuring low pressure drop ΔP and a high heat transfer property, a V-shaped wavy microchannel (VWM) is designed and CFD simulation is carried out. Subsequently, the influences of wave amplitude A, wave length λ and inlet velocity u on the Nusselt number Nuave, the Dean Vortexes and ΔP are studied. Furthermore, based on the performance evaluation criteria (PEC), the optimal parameters of A, λ and u are chosen. Next, the influence of microchannel number N is studied at the same pump power. Eventually, the optimal VWM heat sink is compared with the V-shaped straight microchannel (VSM) heat sink and the rectangular-shaped straight microchannel (RSM) heat sink. The results show that many Dean Vortexes periodically emerge in the V-shaped wavy microchannel, particularly at the wave peak and valley. These Dean Vortexes are capable of thinning the thermal boundary layer, which significantly strengthens heat transfer. As A and u increase while λ decreases, the area, number and severity of the Dean Vortexes increase, and thus both Nuave and ΔP also increase. In the present study, the PEC first increases and then decreases, reaching its maximum value when A = 0.3 mm, λ = 5 m and u = 1.0 m/s. At the same pump power, both the heat transfer area and the total Dean Vortex number increase with the increase in N, leading to a decrease in the thermal resistance R and the maximum temperature Tmax. Compared to the VSM and RSM heat sinks, the optimal VWM heat sink decreases Tmax by 29.93 K and 38.03 K, decreases R by 50.46% and 56.68%, increases have by 156.42% and 155.43% and increases PEC by 137% and 130.78%, respectively. Full article
(This article belongs to the Special Issue Finite Element Method and Computational Techniques for Industrial Processes)
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14 pages, 4473 KB  
Article
Constant Flow Rate Pouring of the Steel Ladle: Analytical Model, Simulation Model, and Experimental Verification
by Yali Chen, Weibing Yang, Chao Qin, Zhanshu He, Guangfeng Zhang and Hua Chai
Processes 2025, 13(8), 2327; https://doi.org/10.3390/pr13082327 - 22 Jul 2025
Viewed by 272
Abstract
To realize accurate ladle pouring, an analytical model of the constant flow rate pouring was established. By integrating a user-defined function (UDF), a CFD simulation model of the constant flow rate pouring was established to investigate the liquid steel pouring behavior under different [...] Read more.
To realize accurate ladle pouring, an analytical model of the constant flow rate pouring was established. By integrating a user-defined function (UDF), a CFD simulation model of the constant flow rate pouring was established to investigate the liquid steel pouring behavior under different inner wall inclination angle α, initial liquid volume Vc, and target flow rate q. Finally, the accuracy of the analytical model and the simulation model was verified through experiments. The results show that the experimental results agree well with the theoretical and simulation results, which verify the accuracy of the analytical model and the simulation model. Moreover, the simulation results indicate that increasing both α and Vc leads to an increase in the pouring flow rate. To achieve a stable pouring process and a constant flow rate value, a proper α, Vc and qt should be selected. In this study α = 7.5° Vc = 70% Vcapacity and q in the range of 0.10–0.12 m3/s are proper. To realize constant flow rate pouring, a time-variant ladle angular velocity is obtained and it can be adjusted by the motor speed. Therefore, different constant flow rates could be acquired by adjusting the motor speed, which provide guidance to the casting technology. Full article
(This article belongs to the Special Issue Finite Element Method and Computational Techniques for Industrial Processes)
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