An approximation assisted optimization (AAO) method was used to optimize the geometry and flow parameters of a Force Fed Microchannel Heat Sink (FFMHS). Numerical simulation solvers were combined with the chosen optimization scheme to obtain the design points. A Kriging meta-modeling was applied to optimize the problem using Multi Objective Genetic Algorithm. The optimum results were compared with optimum designs of a well known traditional microchannel heat sink for a 1 × 1 cm2 base heat transfer area. It is demonstrated that for a constant pumping power, force fed microchannel heat design sink can achieve 65% more heat transfer on average. For a given thermal performance, the pressure drops associated with FFMHS represent only a fraction of the pumping power required by a traditional microchannel heat sink.

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