Abstract
This chapter presents the multiobjective design optimization of a plate fin heat sink equipped with flow-through and impingement-flow air cooling systems using TLBO and ETLBO algorithms. Two objective functions known as entropy generation rate and material cost with five constraints have been taken to measure the performance of the heat sink. Number of fins, height of fins, spacing between the two fins, and oncoming air velocity are considered as the design variables. The results show the better or competitive performance of the TLBO and ETLBO algorithms over the other optimization algorithms considered.
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