Computational Fluid Dynamics of Multiphase Systems

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

Deadline for manuscript submissions: 30 April 2025 | Viewed by 158

Special Issue Editors


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Guest Editor
Center of Sustainable Process Engineering (CoSPE), Department of Chemical Engineering, Hankyong National University, Gyeonggi-do, Anseong-si 17579, Jungang-ro 327, Republic of Korea
Interests: multiphase flows; chemical engineering; computational fluid dynamics; multiscale modeling; high-performance computing; machine learning in CFD
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Guest Editor Assistant
1. Bioenergy and Resources Upcycling Research Laboratory, Korea Institute of Energy Research, Daejeon, Republic of Korea
2. R&D Department, CFDWAYS Engineering Limited Liability Company, 53 Nguyen Xien, Thanh Xuan, Ha Noi, Vietnam
Interests: multiphase flows; chemical engineering; computational fluid dynamics; multiscale modeling; machine learning

Special Issue Information

Dear Colleagues,

This Special Issue focuses on applying computational fluid dynamics (CFDs) to multiphase systems, a critical area in various industrial and natural processes. It aims to showcase cutting-edge research and advancements in modeling complex multiphase flows, including:

  1. Novel numerical methods for multiphase CFD;
  2. Advanced turbulence models for gas–liquid, gas–solid, liquid–solid, and three-phase flows;
  3. Multiphase CFD applications in chemical reactors, oil and gas systems, and environmental flows;
  4. Coupling of multiphase CFD with other physical models (e.g., heat transfer, mass transfer, chemical reactions);
  5. Validation studies comparing multiphase CFD simulations with experimental data;
  6. High-performance computing strategies for large-scale multiphase simulations;
  7. Machine learning and AI integration in multiphase CFD modeling;
  8. Verification, validation, and uncertainty quantification of CFD codes;

The issue welcomes original research articles, comprehensive reviews, and case studies that contribute to the understanding and advancing multiphase CFD across various scales and applications.

Dr. Son Ich Ngo
Guest Editor

Dr. Hai Hung Pham
Guest Editor Assistant

Manuscript Submission Information

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Keywords

  • multiphase flows
  • computational fluid dynamics
  • interfacial phenomena
  • multiscale modeling
  • high-performance computing
  • machine learning in CFD

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Published Papers

This special issue is now open for submission.
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