On the Intelligent Optimization of the Crevice Structure in a Rapid Compression Machine

  • GUO Qiang ,
  • LIU Jie ,
  • WU Yingtao ,
  • WANG Hewu ,
  • TANG Chenglong ,
  • YU Ruiguang
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  • 1. Department of Power Mechanical Engineering, Beijing Jiaotong University, Beijing 100044, China
    2. State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China
    3. State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China
    4. Beijing Key Laboratory of New Energy Vehicle Powertrain Technology, Beijing 100044, China
    5. National International Science and Technology Cooperation Base, Beijing Jiaotong University, Beijing 100044, China

Online published: 2024-04-30

Supported by

This study is supported by the National Natural Science Foundation of China (No. 52076011) and the Fundamental Research Funds for the Central Universities (No. 2021JBM020).

Copyright

Science Press, Institute of Engineering Thermophysics, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2024

Abstract

In this study, the multi-objective intelligent optimization of the crevice structure in a rapid compression machine (RCM) is carried out based on the RCM simulation model modified with the KIVA-3V program. A multi-objective optimization simulation model of the crevice structure based on the large eddy simulation model coupled with the genetic algorithm NSGA-III is established. Six optimization parameters and seven optimization objectives are selected in the optimization process. The results show that the genetic algorithm can quickly find the values of the optimized parameters. The crevice volume ratio shows a trade-off relationship with the dimensionless temperature ratio Tmax/Taver and the tumble ratio. A larger crevice volume can reduce the flow of boundary layer cryogenic gas into the combustion chamber, thus improving the temperature uniformity. In addition, the crevice entrance width and the connecting channel length should be smaller, while the volume of the crevice main chamber should be larger, so as to sufficiently introduce the low-temperature gas of the boundary layer into the crevice and reduce their influence on the temperature field of the combustion chamber. When the crevice volume accounts for 10% of the total volume, the temperature uniformity of the combustor is significantly enhanced, and when the crevice volume accounts for 30.4%, there is almost no low-temperature vortex in the combustion chamber.

Cite this article

GUO Qiang , LIU Jie , WU Yingtao , WANG Hewu , TANG Chenglong , YU Ruiguang . On the Intelligent Optimization of the Crevice Structure in a Rapid Compression Machine[J]. Journal of Thermal Science, 2024 , 33(3) : 1200 -1215 . DOI: 10.1007/s11630-024-1883-6

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