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Abstract
Knowledge of surface heat flux is of great importance to numerous engineering fields. In this study, the sequential function specification method (SFSM) was employed to estimate the transient heat flux on the surface of semitransparent medium. The coupled radiation and conduction heat transfer was solved by discrete ordinate method combined with finite volume method. The temperature was used as input in estimation task which was solved by SFSM. Different types of heat fluxes were taken into account to test performance of the present technique. Retrieval results illustrated that the transient heat flux can be accurately determined using the SFSM. It was proved to be effective for different semitransparent media. For the heat flux with drastic changes, the SFSM showed some limitations. Moreover, the influences of future time step and measurement error on determination results were investigated. The SFSM was applicable even when the random deviation was increased to 1.5. The future time step of SFSM is suggested to be 3 for the estimation of transient heat flux on semitransparent medium surface.
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No potential conflict of interest was reported by the author(s).
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Notes on contributors
Shuangcheng Sun
Shuangcheng Sun is a Lecturer in the School of Energy and Power Engineering, Chongqing University. He received his S.M. (2013), M.E. (2015) and Ph.D. (2018) from Harbin Institute of Technology. His main fields of interest and expertise are inverse heat transfer, radiative heat transfer, thermal energy storage, and optimization algorithms.
Zhonghao Chang
Zhonghao Chang is a postgraduate in the School of Energy and Power Engineering, Chongqing University. He received his S.M. from Shenyang Jianzhu University in 2020. His main fields of interest and expertise are inverse heat transfer and phase change thermal energy storage.
Yalan Ji
Yalan Ji is a Ph.D. candidate in the School of Energy and Power Engineering, Chongqing University. She received her S.M. from Tianjin University of Commerce in 2019. Her main fields of interest and expertise are radiative heat transfer, inverse problem, and medical imaging.
Guangjun Wang
Guangjun Wang is a Professor in the School of Energy and Power Engineering, Chongqing University. His main fields of interest and expertise are inverse heat conduction, solar energy utilization, multi-model prediction and control, and photo-thermal conversation.
Linyang Wei
Linyang Wei is a Lecturer in the School of Metallurgy, Northeastern University. He received his S.M. (2015) and Ph.D. (2020) from Northeastern University and Harbin Institute of Technology. His main fields of interest and expertise are inverse radiation problem and solar energy utilization.