Optimization of Pin Fin Heat Sink by Application of CFD Simulations and Doe Methodology with Neural Network Approximation

Abstract

A design optimization of a staggered pin fin heat sink made of a thermally conductive polymer is presented. The influence of several design parameters like the pin fin height, the diameter, or the number of pins on thermal efficiency of the natural convection heat sink is studied. A limited number of representative heat sink designs were selected by application of the design of experiments (DOE) methodology and their thermal efficiency was evaluated by application of the antecedently validated and verified numerical model. The obtained results were utilized for the development of a response surface and a typical polynomial model was replaced with a neural network approximation. The particle swarm optimization (PSO) algorithm was applied for the neural network training providing very accurate characterization of the heat sink type under consideration. The quasi-complete search of defined solution domain was then performed and the different heat sink designs were compared by means of thermal performance metrics, i.e., array, space claim and mass based heat transfer coefficients. The computational fluid dynamics (CFD) calculations were repeated for the most effective heat sink designs.

Recent research developments in polymer heat exchangers – A review

“…However, the cooling capacity and coefficient of performance of the device were not presented. Figure 16 Heat sink device presented by Hoerber et al 51 A CFD design optimization and thermal efficiency analysis of a staggered pin fin heat sink made of CPC was carried out by Kasza et al 69 . The temperature rise, array coefficient and mass coefficient were analysed in relation to the pin fin height in the range of 20-40mm.The most effective heat sink design was optimized and selected based upon CFD modelling results.…”

High-Precision Dynamics Characteristic Modeling Method Research considering the Influence Factors of Hydropneumatic Suspension

“…Based on approaches reported in recent studies, the research cost, time, and complexity can be reduced and the modeling accuracy can be improved by combining statistical theory with computer simulation [17]. According to [18][19][20][21][22], the optimization of the research object can be achieved by combining the design of experiment (DOE) method with the approximate model technology, which can significantly reduce the number of experiments and design costs. Furthermore, it has been proven that computation fluid dynamics (CFD) is an effective and accurate way to simulate the performance of the shock absorber.…”

Thermal Performance Analysis for Optimal Passive Cooling Heat Sink Design

“…In order to simulate the thermal profile of the pin fins heat sink, software packages such as COMSOL Multiphiysics [10] and ANSYS [11] can be used. COMSOL Multiphysics package software can stimulate various types scientific and engineering field, as it was build up with plenty of modules using finite element method [12].…”