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Multi Objective Optimization of Force Fed Microchannel Heat Sinks
Keywords: multi-objective optimization, high heat flux cooling, microchannel
A multi objective optimization method was used to optimize the geometry of a Force Fed Microchannel Heat Sink (FFMHS) (also known as manifold microchannel). The optimization scheme is based on approximation assisted optimization approach (AAO), a technique that can dramatically decrease the computational time, usually the major drawback. Grid generation and numerical simulation solvers (Gambit and Fluent 6.2) were coupled with the optimization scheme to obtain the design points and a Kriging meta-modeling was used in optimizing the problem using Multi Objective Genetic Algorithm. The optimization problem was formulated for five geometrical parameters and two objective functions defined as minimizing the pumping power and maximizing the effective heat transfer coefficient. The calculations were performed for Force Fed Microchannel Heat Sinks using copper microgrooved surfaces and water as cooling fluid. The optimum results were compared with a optimum designs of a well known traditional microchannel heat sink design for a 1 x 1 cm2 base area. For a constant pumping power, FFMHS can achieve 65% more heat transfer on average, while for similar heat transfer coefficients, FFMHS can achieve the same thermal performance with only 2.5% of pumping power required by a traditional microchannel heat sink.
Edvin Cetegen, Research Assistant
University of Maryland
College Park, MD


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