Abstract— The sizing of the cooling system is one of the most crucial parts of the design of power electronics since it has a high impact on the overall performance of the packages as well as the lifetime of the chips. The high temperature causes irreversible damage and increases the cost for maintenances and substitutions. However, during the design of the package, some geometric constraints can occur, such as maximum height or width. Moreover, limitations about volume rate and fluid temperature must be taken into account. This work aims to create a tool that can automatize the design of the heat sink cooling system with geometric constraints. The analytical model can consider in-line and staggered configurations. In this study, a genetic algorithm is applied as the optimization algorithm in order to find a solution which respects the boundary and fluid constraints and minimize the heat sink volume. Numerical simulations for the resulted geometries have been performed to validate the tool. The results of the numerical simulations show an error between the numerical and the expected maximum temperature of the plate lower than 2% and 3% for in-line and staggered configuration, respectively. The model can be applied over a wide range of application, and it can be easily adapted to different material and different cooling liquid. 
 

Index Terms—heat sink design, numerical simulations, power electronics, optimisation

Cite: Giovanni Filomeno, Bastian Krüger, Peter Tenberge, and Dirk Dennin, "Automatization of Pin Fin Heat Sink Design with Geometric and Fluid Constraints," International Journal of Mechanical Engineering and Robotics Research, Vol. 9, No. 5, pp. 652-657, May 2020. DOI: 10.18178/ijmerr.9.5.652-657

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