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Optimization Of Thermal Performance Of Micro Heat Sinks Based On Genetic Algorithm And Choice Of Working Medium

Posted on:2017-05-10Degree:MasterType:Thesis
Country:ChinaCandidate:Y H WuFull Text:PDF
GTID:2308330485984589Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
The level of microelectronic manufacture technology flourishes with each passing day. Integration, high power chips have sprung up into electronic products market. Meanwhile, the calorific value of the chip also grows rapidly. Thus, the decline of traditional air cooling technology shows without reservations. When the high calorific values of chips gradually become the basic contradiction in rapid developments of MEMS to inefficient cooling technology, liquid cooling system comes into being. High efficiency and small cubage are two most important advantages assemble in the liquid-cooled heat sink. In this article, the optimization method of parallel microchannel heat sink and micro heat sink with fractal-like branching channel networks are studied as well as their flow and heat transfer performance. The primary task description is as following:Single objective optimization design that the pressure drop of heat sink is aimed to be the minimum and multi-objective optimization problem which requires both thermal resistance and pressure drop of heat sink to be optimal are achieved in this paper based on Genetic Algorithm. After that, their flow and cooling performance are studied.The effect of specific surface area of micro heat sink on the cooling performance is emphatically analyzed. The results show that the optimization design of specific surface area of heat sink could also improve its heat dissipation effect.Axial Thermal diffusion of the cover plate of heat sink is considered. According to that, we design a parallel microchannel heat sink, which consists of LTCC material and aluminum alloy material, for dissipating heat that emitting from a quad-core CPU processor. A novel thermal resistance network model is selected as an objective function, then, we use Genetic Algorithm to optimize the thermal resistance of heat sink. After that, CFD simulation is employed to validate the accuracy of thermal resistance model.In addition, CFD simulation is also employed to analyze the effect of nanofluid on strengthening performance of heat sink under different volume fraction.
Keywords/Search Tags:Microchannel heat sink, Multi-objective optimization, Specific surface area, LTCC material, Working medium
PDF Full Text Request
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