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URN etd-0830104-170050 Statistics This thesis had been viewed 4903 times. Download 3294 times. Author Ching-bin Zhang Author's Email Address firstname.lastname@example.org Department Mechanical Engineering Year 2003 Semester 2 Degree Master Type of Document Master's Thesis Language zh-TW.Big5 Chinese Page Count 96 Title Optimization of Heat Sink Using Distributed Artificial Immune Algorithms Keyword Optimization Heat Sink Distributed Artificial Immune Algorithms Distributed Artificial Immune Algorithms Heat Sink Optimization Abstract The rapid advancement in technology of microprocessor design and manufacture has led to electronic thermal system designers to pay increasing attention to heat sink design and heat dissipation system layout. In the current electronics industry, the heat sinks are used extensively to provide cooling for key electronics components. The challenge in heat sink design becomes to remove heat from a small area with very high heat intensity for new microprocessor. The goal of optimal design of heat sink is to search the most adequate dimensions to achieve best performance of heat dissipation.
In last few years many researchers have pay attention to biologically inspired algorithms such as genetic algorithms, artificial immune algorithm, particle swarm and ant colony system. The immune system of human body is a comprehensive and complex system which has the capability of performing several tasks including adaptive learning, memory acquisition, generation of diversity, noise tolerance, and distributed detection. Those characteristics are also the important features of optimization algorithm and it is useful to transform the biological immune system into a searching algorithm for design optimization. The artificial immune algorithm is used as optimization engine for heat sink design in this study.
The trend of small and light requirements of electronics products challenge the capability of designer in cooling high heat intensity area with hard design constraints. The powerful computer-aided engineering(CAE) softwares have been used extensively in product design to achieve high quality specifications for complex designs with coupled fluid-thermal phenomenal. It is time-consuming job to analyze the complex fluid-thermal system using CAE software. The low cost and high performance cluster computers for parallel or distributed computation environment becomes a superior solution for designing complex electronics products.
The objective of optimization of heat sink in this study is to develop an integrated system by combining commercial finite volume software CFDRC with distributed artificial immune algorithm for extruded or cold forging fins. Some test functions are used to verify the accuracy, architecture and performance of the developed program in multimodal optimization problems. The developed program is then applied to the shape optimization of heat sink for light weight and high heat removal. From the results of this study it was shown that the integration of CFDRC software with distributed artificial immune algorithm for optimization of heat sink becomes affordable and effective.
Advisor Committee Chun-yin Wu - advisor
Chin-hsiang Cheng - co-chair
Shih-pin Liau - co-chair
Files Date of Defense 2004-07-26 Date of Submission 2004-08-30