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Estimation of interfacial heat transfer coefficient in inverse heat conduction problems based on artificial fish swarm algorithm

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Abstract

The interfacial heat transfer coefficient (IHTC) is one of the most important thermal physical parameters which have significant effects on the calculation accuracy of physical fields in the numerical simulation. In this study, the artificial fish swarm algorithm (AFSA) was used to evaluate the IHTC between the heated sample and the quenchant in a one-dimensional heat conduction problem. AFSA is a global optimization method. In order to speed up the convergence speed, a hybrid method which is the combination of AFSA and normal distribution method (ZAFSA) was presented. The IHTC evaluated by ZAFSA were compared with those attained by AFSA and the advanced-retreat method and golden section method. The results show that the reasonable IHTC is obtained by using ZAFSA, the convergence of hybrid method is well. The algorithm based on ZAFSA can not only accelerate the convergence speed, but also reduce the numerical oscillation in the evaluation of IHTC.

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Acknowledgements

This work was financially supported by the National Natural Science Foundation of China (51575324), and the Science and Technology Development Program of Shandong (2014GGX103024).

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  1. School of Materials Science and Engineering, Shandong University of Science and Technology, Qingdao, 266590, People’s Republic of China

    ** Li & Zhichao Li

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  1. **aowei Wang
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Correspondence to Hui** Li.

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Wang, X., Li, H. & Li, Z. Estimation of interfacial heat transfer coefficient in inverse heat conduction problems based on artificial fish swarm algorithm. Heat Mass Transfer 54, 3151–3162 (2018). https://doi.org/10.1007/s00231-018-2365-8

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  • DOI: https://doi.org/10.1007/s00231-018-2365-8

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