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Investigation of heat-exchanger-sizing methods using genetic, pattern search, and simulated annealing algorithms and the effect of entropy generation

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Abstract

A numerical study on the heat exchanger design process has been conducted in order to propose a more effective method for the preliminary design of highly efficient and compact heat exchanger. The ε-NTU based performance prediction program and the heat exchanger database having performance correlations of various fin-type heat exchanger were developed. Numerical characteristics of the genetic, pattern search, and simulated annealing algorithms for the heat exchanger sizing were compared in terms of the accuracy and the computational speed. The effect of margins in design requirements were examined through the size ranking and the response surface analysis. The usefulness of the entropy generation minimization was appraised by comparing to the case when the objective function was the volume of the heat exchanger.

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Correspondence to June Kee Min.

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Recommended by Associate Editor Ji Hwan Jeong

Kyung Hun Lee received his undergraduate degree for Mechanical Engineering at the Pusan National University in 2014. He also graduated for the master degree at the Pusan National University in 2016. He carried out various studies for the analysis of heat exchangers using the CFD and he developed the in-house code for calculation of heat exchanger performance.

June Kee Min received his Ph.D. degree from Korea Advanced Institute of Science and Technology, Korea in 1999. Currently, he is a Professor at the School of Mechanical Engineering at Pusan National University in Busan, Korea. His research interest is on the development of advanced CFD models for various complicated flow and heat transfer problems.

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Lee, K., Kim, M., Ha, M.Y. et al. Investigation of heat-exchanger-sizing methods using genetic, pattern search, and simulated annealing algorithms and the effect of entropy generation. J Mech Sci Technol 32, 915–928 (2018). https://doi.org/10.1007/s12206-018-0142-0

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  • DOI: https://doi.org/10.1007/s12206-018-0142-0

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