Thermal Design, Thermodynamic Analysis, and Optimization of Aero-Engines and Gas Turbines—2nd Edition
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "J: Thermal Management".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 24
Special Issue Editors
Interests: advanced cooling technology for turbine blades; optimization design of cooling structure; machine learning in cooling design; equipment thermal design
Special Issues, Collections and Topics in MDPI journals
Interests: artificial neural networks; inverse methods; computational fluid dynamics; numerical optimization; engineering, applied and computational mathematics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the increasing operating temperatures of aero-engines and gas turbines, the cooling of high-temperature components has become a significant challenge. The development of reliable and efficient cooling structures is therefore essential to ensure the reliable operation of these systems. Traditional cooling methods may not be suitable for the new generation of aero-engines and gas turbines, as they may not provide the required cooling efficiency under extreme operating conditions. As a result, there is a need for novel cooling structures with enhanced cooling capabilities as well as cooling design methods with high efficiency and accuracy.
Building upon the success of the first edition, the second edition of this Special Issue continues to bring together original research and review articles discussing recent advances in thermal design, thermodynamic analysis, and optimization of aero-engines and gas turbines.
The topics of interest for publication include, but are not limited to, the following:
- Overall thermal design and analysis of hot-temperature components such as blades and combustors;
- Thermal design and analysis of unit cooling structures;
- High-efficiency and high-precision thermal design methods;
- Enhancement of cooling data;
- Machine learning modeling of cooling performance;
- Proposal and optimization of new cooling structures.
Dr. Lei Xi
Dr. Denglong Ma
Guest Editors
Manuscript Submission Information
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Keywords
- high-temperature components
- thermal design
- thermodynamic analysis
- novel cooling structure
- high-performance heat-transfer structure
- machine learning
- data enhancement
- performance prediction
- structural optimization
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