An efficient inverse approach for reconstructing time-and space-dependent heat flux of participating medium  

作　　者：Shuang-Cheng Sun Guang-Jun Wang Hong Chen 孙双成;王广军;陈红(School of Energy and Power Engineering,Chongqing University,Chongqing 400044,China;Key Laboratory of Low-grade Energy Utilization Technologies and Systems,Ministry of Education,Chongqing University,Chongqing 400044,China)

机构地区：[1]School of Energy and Power Engineering,Chongqing University,Chongqing 400044,China [2]Key Laboratory of Low-grade Energy Utilization Technologies and Systems,Ministry of Education,Chongqing University,Chongqing 400044,China

出　　处：《Chinese Physics B》2020年第11期164-173,共10页中国物理B（英文版）

基　　金：Project supported by the Natural Science Foundation of Chongqing(CSTC,Grant No.2019JCYJ-MSXMX0441).

摘　　要：The decentralized fuzzy inference method(DFIM)is employed as an optimization technique to reconstruct time-and space-dependent heat flux of two-dimensional(2D)participating medium.The forward coupled radiative and conductive heat transfer problem is solved by a combination of finite volume method and discrete ordinate method.The reconstruction task is formulated as an inverse problem,and the DFIM is used to reconstruct the unknown heat flux.No prior information on the heat flux distribution is required for the inverse analysis.All retrieval results illustrate that the time-and spacedependent heat flux of participating medium can be exactly recovered by the DFIM.The present method is proved to be more efficient and accurate than other optimization techniques.The effects of heat flux form,initial guess,medium property,and measurement error on reconstruction results are investigated.Simulated results indicate that the DFIM is robust to reconstruct different kinds of heat fluxes even with noisy data.

关 键 词：decentralized fuzzy inference surface heat flux reconstruction inverse heat transfer problem participating medium 

分 类 号：TK124[动力工程及工程热物理—工程热物理]