Kyoungwoo
Park Keun-Ho
Rew Jeong-Tae
Kwon Byeong-Sam
Kim ABSTRACT Performance improvement of a heat sink, which is widely used in electro-equipment systems as a cooling device, can be achieved by maximizing the heat transfer rate and minimizing the pressure loss, simultaneously. For this purpose, it is a very common way to use the optimization technique. In the present study, the comparison of optimal solutions for a 7 × 7 pin-fins heat sink with different cross-sectional fin shapes is performed by integrating the computational fluid dynamics (CFD) and a mathematical optimization technology. In the pin-fins heat sink, the optimum values of the design variables such as fin height (h), fin width or fin diameter (D), and fan-to-heat sink distance (cj) at the junction of a heat sink and a heat source (i.e., CPU in a computer), and the overall pressure drop (ΔP) are minimized. To complete the optimization, the finite volume method for calculating the objective functions (pressure drop and thermal resistance) and SQP method that is one of the gradient-based optimization algorithms for solving the constrained nonlinear optimization problem are used.
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