Research on PCB thermal layout optimization strategy based on improved particle swarm optimization algorithm

Chunxia Zhang; Xiaoxin Li; Dong Wei

doi:10.1117/12.3004301

25 September 2023 Research on PCB thermal layout optimization strategy based on improved particle swarm optimization algorithm

Chunxia Zhang, Xiaoxin Li, Dong Wei

Author Affiliations +

Proceedings Volume 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023); 127881B (2023) https://doi.org/10.1117/12.3004301
Event: Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 2023, Kuala Lumpur, Malaysia

Abstract

With the rapid development of integrated circuits, the number of electronic components on PCBs has multiplied. The increase in the number of components has led to more factors affecting the stability of PCB, with temperature being one of them. Excessive temperature can lead to functional failure or burnout of electronic components. A hybrid algorithm based on particle swarm optimization and simulated annealing algorithm is proposed to optimize the thermal layout of PCB electronic components. The article analyzes the principle and algorithm improvement process of thermal layout optimization, provides specific optimization cases, and verifies the feasibility of this method through MATLAB simulation experiments.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chunxia Zhang, Xiaoxin Li, and Dong Wei "Research on PCB thermal layout optimization strategy based on improved particle swarm optimization algorithm", Proc. SPIE 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 127881B (25 September 2023); https://doi.org/10.1117/12.3004301

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