Numerical Modeling and Optimization of Fluid Flow in Engines
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".
Deadline for manuscript submissions: 5 February 2026 | Viewed by 554
Special Issue Editors
Interests: compressible flow; supersonic internal flow; shock wave/boundary layer interaction; flow mechanism; flow control
Special Issues, Collections and Topics in MDPI journals
Interests: dynamic modeling; aeroengine control; hypersonic propulsion
Interests: supersonic internal flow; scramjet; shock wave/boundary layer interaction; flow control
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The internal flow within engines exhibits complex multi-process coupling effects. Current research still lacks a comprehensive understanding of these internal flow characteristics and their interaction mechanisms. These limitations result in insufficient capabilities for monitoring and controlling multi-mode flow conditions, which emphasizes the necessity for deeper investigation into complex flow behaviors and fundamental physical mechanisms within engines. The accurate simulation and optimization of engine flows will enhance understanding of fluid dynamics within engines, leading to more efficient combustion processes, reduced emissions, and improved engine performance. Optimizing fluid flow processes in engines positively contributes to energy efficiency enhancement, sustainable transportation development, and environmental protection.
This Special Issue of Processes covers research on the numerical modeling and optimization of fluid flow in engines. Research topics include, but are not limited to, aeroengines, ramjets, scramjets, variable cycle engines, precooled engines, RBCCs, and TBCCs. The research includes internal flow mechanisms, data-driven modeling aerodynamics, and flow control of the engines.
The topics of the Special Issue include, but are not limited to, the following:
- Shock wave/boundary layer interaction;
- Shock wave/vortex coupling interference;
- Supersonic turbulent flow for chemical equilibrium;
- Flow controlled supersonic flow;
- Supersonic rocket nozzle flow;
- Supersonic impinging jet flow;
- Shock wave aerothermal and drag reduction;
- Shock wave/combustion interaction;
- Flow control methods;
- Wind tunnel experimental methods;
- Numerical calculation methods;
- Flow field prediction;
- Machine learning in flow modeling and flow control;
- Flow field feature extraction;
- Fusion method of multi-source aerodynamic data;
- Non-Equilibrium thermodynamics;
- Dynamic modeling;
- Reduced-order modeling;
- Integrated propulsion–airframe design;
- Inlet-Engine matching control.
Dr. Ziao Wang
Dr. Chengkun Lv
Dr. Nan Li
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. Processes is an international peer-reviewed open access monthly journal published by MDPI.
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Keywords
- flow mechanism
- aerodynamics
- flow control method
- intelligent fluid dynamics
- dynamic modeling
- dynamic modeling
- multivariable control
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