Optimization of heat sink for thyristor using particle swarm optimization

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Abstract

The objective of this work is to optimize the geometry of the heat sink, which improves the performance. The geometrical parameter chosen for optimization is fin gap. The heat sink is under the condition of natural convection. The optimization method used is particle swarm optimization (PSO). Entropy generation minimization is the objective function. The constraints are set according to the design requirements. The idea of entropy generation minimization is employed to combine the effects of thermal resistance and pressure drop within the heat sink. The optimization problem is solved with the help of MATLAB. The optimized fin gap obtained is b ​= ​6.5 ​mm. The value of entropy generation is 21.4365 ​W/K.

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APA

Bhandari, V. S., & Kulkarni, S. H. (2019). Optimization of heat sink for thyristor using particle swarm optimization. Results in Engineering, 4. https://doi.org/10.1016/j.rineng.2019.100034

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