NUMERICAL OPTIMIZATION OF BAFFLE DESIGN IN A PARALLEL HEAT EXCHANGER HEADER USING CFD AND GENETIC ALGORITHM
Nguyen Ba Chien†*, Nguyen Dinh Vinh†, Vu Huy Khue† & Jong-Taek Oh‡
†Department of Refrigeration and Air-conditioning Engineering, Hanoi University of Science and Technology, 1 Dai Co Viet, Hanoi, Vietnam, 10000
‡Department of Refrigeration and Air-conditioning Engineering, Chonnam National University, 50 Daehak-ro, Yeosu-si, 59626, South Korea
*Corresponding Author Email: firstname.lastname@example.org
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Maldistribution of refrigerant flow in parallel heat exchanger is one of the main reasons which reduces the thermal performance. This study demonstrates a numerical method to automatically evaluate the baffles height in order to optimize the flow distribution of two-phase flow refrigerant inside a heat exchanger header. This method couples the computational fluid dynamics (CFD) model and a genetic algorithm to generate the optimal dimensions of multi baffles simultaneously. The numerical results show that the maldistribution of flow could be reduced up to 9 times compare to original design. Furthermore, this framework also could expand the design space, thus it could be a useful tool to boost up the design of headers using in parallel heat exchanger.