Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference (한국윤활학회:학술대회논문집)
- 2004.11a
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- Pages.312-315
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- 2004
Decision of Friction Condition for Materials of Automobile Transmission by Theory of Intelligence
지능이론을 이용한 자동차 트랜스미션 소재의 마찰조건 판정
- Cho Yonsang (Mech. Eng. Dept., DongA Univ.) ;
- Kim Younghee (Metal. Eng. Dept., DongA Univ.) ;
- Park Heungsik (Mech. Eng. Dept., DongA Univ.)
- 발행 : 2004.11.01
초록
A lubricated state of an automobile transmission can not be inspected directly with eyes. Thus, it needs to develop a more general method. Wear debris can be collected from the lubricants of operating transmission of an automobile and its morphology is directly related to the fiction condition of the interacting materials from which the wear particles originated in lubricated transmission. In this paper, to identify the friction condition for transmission gear by neural network, the wear test of ball-on-disk type and the analysis of friction state were carried out for carburized SCM420 and nitrocarburized NT100 under different experimental conditions. The four shape parameters(
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