碩士 / 逢甲大學 / 化學工程學所 / 100 / In recent years, the optimization designs of micro heat sinks have received widely attention and many methods have been proposed to enhance the heat dispersion efficiency. A commonly used method is based on minimization of entropy generation rate that simultaneously considers the two major factors of heat transfer and fluid friction characteristics in the design. In this paper, we consider the reliability based design optimization (RBDO) of pin-fin heat sinks with inline and staggered arrangements under the variations of ambient temperature and air approaching flow rate. Two kinds of RBDO problems are formulated for the heat sink optimization design. One is the single objective RBDO which aims to minimize the entropy generation rate. The other one regards to the multi-objective RBDO which attempts to minimize the entropy generation rate and the cost of the heat sinks simultaneously. To solve the RBDOs, we develop in the thesis a cell evolution method in associated with real-coded genetic algorithms. Through extensive simulation studies, the developed methods have been shown to be superior to existing RBDO methods, such as single-loop and double-loop methods, and that it possesses both the benefits of computation efficiency and solution accuracy. By using the proposed cell evolution algorithm, the obtained optimized heat sinks are more robust than conventional designs under the variations of air approaching velocity. For performance demonstration and verification, we perform the dynamic simulation of the designed heat sinks using the finite-element software named COMSOL Multiphysics. Simulation results reveal clearly that the heat sinks designed based on the RBDO methodology robustly present a great ability for heat dispersion under process uncertainties.
| Identifer | oai:union.ndltd.org:TW/100FCU05063071 |
| Date | January 2012 |
| Creators | Mu-huo Chen, 陳沐和 |
| Contributors | Chyi-Tsong Chen, 陳奇中 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 84 |
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