中国航空学报(英文版)2024,Vol.37Issue(6) :64-77.DOI:10.1016/j.cja.2024.03.006

Simulation of an aircraft thermal management system based on vapor cycle response surface model

Haodong LIU Hongsheng JIANG Sujun DONG Longxian XUE Yongji LIU Jianjun WU
中国航空学报(英文版)2024,Vol.37Issue(6) :64-77.DOI:10.1016/j.cja.2024.03.006

Simulation of an aircraft thermal management system based on vapor cycle response surface model

Haodong LIU 1Hongsheng JIANG 1Sujun DONG 1Longxian XUE 2Yongji LIU 2Jianjun WU2
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作者信息

  • 1. School of Aeronautic Science and Engineering,Beihang University,Beijing 100191,China
  • 2. Chengdu Aircraft Design and Research Institute,Aviation Industry Corporation of China,Chengdu 610091,China
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Abstract

The modern aircraft Thermal Management System(TMS)faces significant challenges due to increasing thermal loads and limited heat dissipation pathways.To optimize TMS during the con-ceptual design stage,the development of a modeling and simulation tool is crucial.In this study,a TMS simulation model library was created using MATLAB/SIMULINK.To simplify the complex-ity of the Vapor Cycle System(VCS)model,a Response Surface Model(RSM)was constructed using the Monte Carlo method and validated through simulation experiments.Taking the F-22 fighter TMS as an example,a thermal dynamic simulation model was constructed to analyze the vari-ation of thermal response parameters in key subsystems and elucidate their coupling relationships.Furthermore,the impact of total fuel flow and ram air flow on the TMS was investigated.The find-ings demonstrate the existence of an optimal total fuel flow that achieves a balance between maxi-mizing fuel heat sink utilization and minimizing bleed air demand.The adaptive distribution of fuel and ram air flow was found to enhance aircraft thermal management performance.This study contributes to improving modeling efficiency and enhancing the understanding of the thermal dynamic characteristics of TMS,thereby facilitating further optimization in aircraft TMS design.

Key words

Thermal management sys-tem/Vapor cycle/Response surface model/Dynamic simulation/Monte Carlo

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出版年

2024
中国航空学报(英文版)
中国航空学会

中国航空学报(英文版)

CSTPCDEI
影响因子:0.847
ISSN:1000-9361
参考文献量2
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