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Computational Fluid Dynamics-Based Technology for Design and Optimization of Gas Turbines

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "J: Thermal Management".

Deadline for manuscript submissions: 13 June 2025 | Viewed by 886

Special Issue Editors


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Guest Editor
1. University of Chinese Academy of Sciences, Beijing 100190, China
2. Advanced Gas Turbine Laboratory, Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100045, China
Interests: strong coupling of turbines in gas turbines

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Guest Editor
College of Engineering, Peking University, Beijing 100871, China
Interests: aerodynamics of turbomachinery; heat transfer; cooling technology; internal flows

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Guest Editor
School of Mechanical Engineering, Tianjin University of Technology, Xiqing District, Tianjin 300384, China
Interests: efficient energy power machinery design; turbine blade flow and cooling

Special Issue Information

Dear Colleagues,

Computational fluid dynamics (CFDs) could obtain the behavior of fluids and their thermodynamic properties by employing different numerical models. CFDs are wildly used in aero-engines and land-based gas turbines’ design and optimal processes to improve the efficiency of products without relying on time-consuming and expensive physical testing. To enable a quick and efficient design optimization, a computational fluid dynamics-based design and optimal system usually integrates components’ design approaches, automatic mesh generators, CFD codes, and optimization methods. Over the last decade, tools and methods have been constantly improved. Due to the instability and unsteady coupling phenomenon in gas turbines, such as flow exciting vibration, combustion excitation, and conjugate heat transfer in hot components, high precision and reliability simulations for the solving of multi-physics problems with low consumption have always been a challenge for CFDs. The application of textile composites requires multi-scale simulation methods to be developed. In addition, developments in artificial intelligence and related technologies offer a wealth of new ideas and methods for CFD-based design and optimization.

In this Special Issue, we welcome the submission of works related to CFD-based technology for the design and optimization of gas turbines, with a particular focus on the following topics:

  1. CFD-based technology for compressor design and optimization;
  2. CFD-based technology for combustion chamber design and optimization;
  3. CFD-based technology for turbine design and optimization;
  4. CFD-based technology for the seal, disc cavity, and related components’ design and optimization;
  5. CFD-based technology for detonation engines as a future of aero-engines;
  6. Novel conjugate and multi-scale CFD simulation method investigations and validations;
  7. Application of neural networks for optimization in gas turbines;
  8. Rapid simulation and optimization methods based on AI technology.

Dr. Jinglun Fu
Dr. Chao Zhou
Dr. Chao Zhang
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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

  • gas turbine
  • instability and unsteady coupling phenomenon simulation
  • multi-scale simulation
  • neural networks
  • AI

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Published Papers (1 paper)

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Research

17 pages, 12293 KiB  
Article
Investigations on the Aerodynamic Interactions Between Turbine and Diffuser System by Employing the Kriging Method
by Bin Qiu, Jinglun Fu, Xiangling Kong, Hongwu Zhang and Qiang Yu
Energies 2025, 18(4), 921; https://doi.org/10.3390/en18040921 - 14 Feb 2025
Viewed by 387
Abstract
An exhaust diffuser determines the turbine outlet pressure by recovering kinetic energy. Conversely, the distributions of the total pressure and flow directions at the turbine exit affect the aerodynamic performance of the exhaust diffuser. As the output power increases gradually, the structure of [...] Read more.
An exhaust diffuser determines the turbine outlet pressure by recovering kinetic energy. Conversely, the distributions of the total pressure and flow directions at the turbine exit affect the aerodynamic performance of the exhaust diffuser. As the output power increases gradually, the structure of the modern gas turbine becomes more compact. Consequently, the coupled effect of the flow in the last-stage turbine and the exhaust diffuser becomes increasingly obvious. Understanding the correlation between the flow field and the performance of the coupled system is of great significance. As a predictive regression algorithm, the Kriging method is widely used due to its high efficiency and unique mathematical characteristics. In this paper, computational fluid dynamics (CFD) numerical simulation is employed to investigate the interactions between the flow fields of the coupled system, and the corresponding datasets are obtained. Accordingly, the Kriging method is successfully employed to reconstruct the complex flow field, and a quantitative model describing the interaction between the two parts is established. This paper provides a detailed summary of the interaction between the flow field in the exhaust diffuser and the flow field at the outlet of the last-stage turbine. Through the prediction of the flow field, the conditions that induce the separation vortex on the casing of the diffuser are determined. Specifically, the slope of the total pressure change along the blade height near the casing is found to be k = −4.37. Full article
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