Abstract
An effective method for predicting and optimizing the thermal performance of Parallel-Plain Fin (PPF) heat sinks that satisfy given design constraints has been successfully developed in the study. The thermal and hydrodynamic performance analyses for PPF heat sinks have been conducted. The Response Surface Methodology (RSM) is applied to establish analytical models of the thermal resistance and pressure drop in terms of the design variables with a Central Composite Design (CCD) experimental design. A constrained optimization technique, Sequential Quadratic Programming (SQP), is employed to efficiently seek the optimal designs; and the comparisons between these predicted optimal designs and those evaluated by the theoretical calculations are made with a satisfactory agreement.
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