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热流固耦合下增压器涡壳多目标优化

李发宗 童水光 袁铭鸿

中国机械工程2016,Vol.27Issue(6):754-760,766,8.
中国机械工程2016,Vol.27Issue(6):754-760,766,8.DOI:10.3969/j.issn.1004-132X.2016.06.009

热流固耦合下增压器涡壳多目标优化

Multi-objective Optimization for Turbocharger Housing Considering Thermo-fluid-solid Interaction

李发宗 1童水光 2袁铭鸿1

作者信息

  • 1. 浙江大学,杭州,310027
  • 2. 宁波工程学院,宁波,315336
  • 折叠

摘要

Abstract

A thermo-fluid-solid interaction method of turbocharger housing was proposed and a fi-nite element model was established.The thermal structure of turbocharger housing was analyzed.The distribution of thermo plasticity strain and the location of thermal structure destruction of turbine housing were found by thermo-fluid-solid interaction analyses.Analysis results were compared with the thermal cycling test results of the turbine housing and the correctness of the thermo-fluid-solid in-teraction model was proved.The thermo plasticity strain of three risk regions in turbine housing were selected as optimization obj ectives,a structure optimization approximation model was established by response surface method,which took size parameters of dangerous parts as design variables and the thermo plasticity strain of turbine housing as optimization obj ectives.The optimal structural parameter combination of the turbine housing was obtained by multi-obj ective optimization method based on re-sponse surface method and genetic algorithm,and the optimization model was verified by thermo-fluid-solid interaction experiments.The results show that the thermo plasticity strains of three risk regions in turbine housing decrease from 3.3%,3.2%,2.6% to 0.66%,0.8%,1.03% respectively.The opti-mization method can improve thermal structure intensity,reduce the risk of hot cracking formation and improve the stability and reliability of heat structure of turbine housing.

关键词

热流固耦合/涡壳/响应面法/多目标优化

Key words

thermo-fluid-solid interaction/turbine housing/response surface methodology/multi-obj ective optimization

分类

矿业与冶金

引用本文复制引用

李发宗,童水光,袁铭鸿..热流固耦合下增压器涡壳多目标优化[J].中国机械工程,2016,27(6):754-760,766,8.

中国机械工程

OA北大核心CSCDCSTPCD

1004-132X

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