MORE | Fall 2023

Shape Optimization of Pin Fin Array in a Cooling Channel Using Genetic Algorithm

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This research seeks to identify optimal pin fin shapes that minimize flow pressure drop and maximize heat transfer performance under varying heat loads and investigate the influence of computational fluid dynamics (CFD) parameters. The overarching goal is to uncover innovative pin fin configurations using a genetic algorithm, diverging from conventional circular cylindrical designs, while also examining the impact of heat transfer boundary conditions and CFD parameters on the genetic algorithm’s outcomes. Overall, in terms of energy efficiency, semiconductor-based cooling systems can operate using much less power, which can help to reduce energy consumption and lower operating costs.

Student researcher

Ji Yeon Kim

Aerospace engineering

Hometown: Gangnam-gu, Seoul, South Korea

Graduation date: Spring 2024