Optimization of Microchannel Systems under Pressure and Temperature Constraints
In this paper, microchannel systems for heat removal applications are investigated and optimized. Numerical simulations are carried out to study the conjugate heat transfer and flow behavior. The numerical model has been validated with experimental results and grid independence test is performed. Incoming flow rate and number of channels are chosen as the two main design variables. Curve fitting is used to represent the multiphysics behavior in the microchannel systems. Based on the Polynomial Response Surface (PRS) modeling results, a multi-objective optimization problem is formulated to reduce both pumping power and thermal resistance. Two major practical concerns, hot-spot temperature and pressure drop limit, serve as optimization constraints. With varying weights on the two conflicting objectives, Pareto frontiers are obtained. This study provides a feasible design domain for microchannel cooling systems and the optimization process can be applied to different applications of similar thermal systems.