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마이크로 유전알고리즘을 이용한 자동차용 촉매변환기의 최적 설계

Title
마이크로 유전알고리즘을 이용한 자동차용 촉매변환기의 최적 설계
Other Titles
Optimum Design of Automotive Catalytic Converter using Micro Genetic Algorithm
Author
김우승
Keywords
Catalytic Converter(촉매변환기); Micro-Genetic Algorithm(마이크로 유전알고리즘); Optimization(최적화); Cold-Start(냉간 시동)
Issue Date
2005-05
Publisher
대한기계학회
Citation
대한기계학회 창립 60주년 기념 춘계학술대회 강연 및 논문 초록집, Page. 2,197 - 2,202
Abstract
In the present work, the design optimization of the monolithic catalytic converter has been numerically performed to minimize the light-off time(the time required for 50% conversion of exhaust gas) of the catalyst with design variables such as cell density, monolith length and radius and wall thickness using Micro Genetic Algorithm(μ-GA). The catalytic converter is modeled based on one-channel theory which considers four chemical processes on the washcoat layer, heat conduction in the channel wall and convection heat transfer between the wall and gas. The transient behavior of the automobile catalytic converters has been studied using a mathematical model which accounts for the simultaneous process of heat transfer, mass transfer and chemical reaction.
URI
http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE00914277&language=ko_KRhttp://repository.hanyang.ac.kr/handle/20.500.11754/111991
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > MECHANICAL ENGINEERING(기계공학과) > Articles
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