Transactions of Nanjing University of Aeronautics & Astronautics
Retrieval of Heat Radiative Property Parameters in Semitransparent Media Using Improved Stochastic Particle Swarm Optimization
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Abstract:
Semitransparent media widely exist in industrial and chemical equipment， and their heat radiative properties usually play a vital role in studying the heat transfer process in the media. In the paper， an improved stochastic particle swarm optimization （ISPSO） is proposed to determine heat radiative property parameters of semitransparent media， i.e. absorption coefficient， scattering coefficient and asymmetry factor， from the angular light-scattering measurement signals. The results show that compared with the stochastic particle swarm optimization （SPSO） algorithm， the ISPSO algorithm can avoid the phenomenon of local optima and low convergence accuracy， and reasonable retrieval results can be obtained even with 5% random measurement errors. Moreover， the robustness of the inverse results is satisfactory when there are only two parameters needed to be studied. The inverse accuracy will be decreased when more parameters needed to be retrieved. However， the results are still acceptable even with 5% random measurement errors， when the absorption coefficient， scattering coefficient and asymmetry factor are retrieved simultaneously. All the results confirm that the proposed technique is an effective and reliable technique in estimating multiple radiative property parameters in semitransparent media simultaneously.
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Project Supported:
This work was supported by the Aeronautical Science Foundation of China （No.201928052002）， and Fundamental Research Funds for the Central Universities （No.NT2021007）.
Clc Number:
TK123
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