TY - JOUR
T1 - Multiobjective geometry optimization of microchannel heat exchanger using real-coded genetic algorithm
AU - Garcia, John Carlo S.
AU - Tanaka, Hiroki
AU - Giannetti, Niccolo
AU - Sei, Yuichi
AU - Saito, Kiyoshi
AU - Houfuku, Mamoru
AU - Takafuji, Ryoichi
N1 - Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2022/2/5
Y1 - 2022/2/5
N2 - In this paper, a multiobjective optimization of the structure of a flat-tubed microchannel heat exchanger is performed to reduce its volume and fan power at a specified capacity. Design variables include tube height, tube width, tube length, fin height, and fin pitch. A weight-based, real-coded genetic algorithm is implemented to optimize the design variables within their specified range of dimensions. To further improve the numerical simulations of the microchannel heat exchanger performance, correlations for the air-side Nusselt number, friction factor, and fin efficiency are developed and validated. In the optimization, the Pareto optimal fronts are obtained by varying weights of the two conflicting objectives. A reference microchannel heat exchanger operating at different capacities is optimized. Results show that the volume and fan power of the reference microchannel heat exchanger can be reduced by up to 45% and 51% respectively, depending on the weighting factor selected. The optimization approach of this study provides the optimal solutions at the given domain of geometric parameter dimensions.
AB - In this paper, a multiobjective optimization of the structure of a flat-tubed microchannel heat exchanger is performed to reduce its volume and fan power at a specified capacity. Design variables include tube height, tube width, tube length, fin height, and fin pitch. A weight-based, real-coded genetic algorithm is implemented to optimize the design variables within their specified range of dimensions. To further improve the numerical simulations of the microchannel heat exchanger performance, correlations for the air-side Nusselt number, friction factor, and fin efficiency are developed and validated. In the optimization, the Pareto optimal fronts are obtained by varying weights of the two conflicting objectives. A reference microchannel heat exchanger operating at different capacities is optimized. Results show that the volume and fan power of the reference microchannel heat exchanger can be reduced by up to 45% and 51% respectively, depending on the weighting factor selected. The optimization approach of this study provides the optimal solutions at the given domain of geometric parameter dimensions.
KW - Microchannel heat exchanger
KW - Optimization
KW - Real-coded genetic algorithm
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U2 - 10.1016/j.applthermaleng.2021.117821
DO - 10.1016/j.applthermaleng.2021.117821
M3 - Article
AN - SCOPUS:85120460749
SN - 1359-4311
VL - 202
JO - Applied Thermal Engineering
JF - Applied Thermal Engineering
M1 - 117821
ER -