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| Multi-objective optimization of forced air-cooled heatsink based on particle swarm optimization algorithm |
| WANG Ling1, LI Li2, ZHU Xiang’ou1, WANG Shoudong1, SUN Chuang1 |
1. School of Electrical and Electronic Engineering, Wenzhou University, Wenzhou, Zhejiang 325035;
2. Zhejiang Chint Electrics Co., Ltd, Wenzhou, Zhejiang 325603 |
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Abstract The power electronic system requires forced air-cooled heatsink which has low thermal resistance, miniaturization and lightweight. In this paper, a multi-objective optimization model with minimum thermal resistance, pressure drop and mass is established based on the radiator structure and its equivalent thermal resistance network after considering the shortcomings of existing radiator design methods. In view of the limitations of the current particle swarm algorithm when solving multi-objective models, this paper adopts a variety of improved strategies to improve the performance of the algorithm. The calculation and simulation results show that the thermal resistance, pressure drop, and mass of the optimized forced air-cooled radiator are all reduced, and the surface temperature of the power device is significantly reduced, which verifies the effectiveness of the multi-objective optimization model and algorithm.
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Received: 01 September 2021
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2022, Vol. 23 
