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Reviews: Applications of optimization algorithm for microchannel and microchannel heat sink on heat transfer.

Authors :
Song, Gege
Chen, Hongqiang
Zhang, Yonghai
Wei, Jinjia
Ma, Xiang
Source :
International Journal of Heat & Fluid Flow. Sep2024, Vol. 108, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

• The first comprehensive review of optimization algorithms on microchannels is presented. • Status of topology optimization algorithms in microchannels energy transfer are summarized. • The theoretical basis and practical process of genetic algorithms in microchannels are carried out. • The characteristics of different algorithms are given and prospective direction is put forward. With the increasing demand for microchannel thermal management technology, a large number of researchers devote their energies to the optimization of microchannel. However, the optimization design based on labor and experience is not only inefficient but also lacks sufficient systematic quantitative analysis. In this paper, the relevant achievements in recent decades are investigated, finding that more and more scientists are turning their attention to the optimization algorithm field to solve the optimization problem of microchannel accurately. At present, the two most widely used optimization algorithms are topology optimization algorithm (TOA) and genetic algorithm (GA). Firstly, the author summarizes the development of the two optimization algorithms in the fields of microchannel and microchannel heat sink, and further studies the application status of the improved optimization algorithm in the design of microchannel heat sink (MCHS). Finally, the advantages and disadvantages of different algorithms and their development prospects are summarized. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0142727X
Volume :
108
Database :
Academic Search Index
Journal :
International Journal of Heat & Fluid Flow
Publication Type :
Academic Journal
Accession number :
178639084
Full Text :
https://doi.org/10.1016/j.ijheatfluidflow.2024.109451