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Journal of Thermal Science

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2024 , Vol. 33 >Issue 3: 1200 - 1215

DOI: https://doi.org/10.1007/s11630-024-1883-6

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

网络出版日期: 2024-04-30

基金资助

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).

版权

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

本研究基于KIVA-3V程序搭建了快速压缩机（RCM）CFD仿真模型。在此基础上，采用大涡仿真模型耦合第三代遗传算法开展了快速压缩机缝隙结构的多目标优化研究。在优化过程中选择了6个优化参数和7个优化目标。结果表明，遗传算法能够快速找到帕累托最优解的参数分布区域。同时，快速压缩机缝隙体积的大小与无量纲温度比Tmax/Taver和压缩终点附近的滚流比呈现出trade-off关系。其中，较大的缝隙体积可以减少边界层低温气体进入到燃烧室的流量，从而提高温度均匀性。此外，缝隙入口宽度和连接通道长度应较小，而缝隙主室的体积应较大，以便将边界层的低温气体充分引入缝隙中，减少其对燃烧室温度场的影响。当缝隙体积占总体积的10%时，燃烧室的温度均匀性显着增强；当缝隙体积占30.4%时，燃烧室内几乎不存在低温涡流。

关键词： rapid compression machine; adiabatic core area; ignition delay period; crevice structure

本文引用格式

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]. 热科学学报, 2024 , 33(3) : 1200 -1215 . DOI: 10.1007/s11630-024-1883-6

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.

Key words： rapid compression machine; adiabatic core area; ignition delay period; crevice structure

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