Optimization of heat sink for thyristor using particle swarm optimization

Citations of this article
Mendeley users who have this article in their library.


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.




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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free