Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference (한국윤활학회:학술대회논문집)

Korean Tribology Society (한국트라이볼로지학회)
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Prediction of Failure Condition for Aloy Seel for Mchine Sructural Use by Design of Experiment

실험계획법을 이용한 기계구조용 특수강의 손상상태 예측

  • Bae Hyo-jun (Graduate School, Department of Mechanical Engineering, Dong-A University) ;
  • Lee Sang-Jae (Graduate School, Department of Mechanical Engineering, Dong-A University) ;
  • Kim Young-Hee (Division of Metallurgical & Chemical Engineering, Dong-A University) ;
  • Park Heung-Sik (Division of Mechanical & Industrial system Engineering, Dong-A University)
  • 배효준 (동아대학교 대학원) ;
  • 이상재 (동아대학교 대학원) ;
  • 김영희 (동아대학교 재료금속화학공학부) ;
  • 박흥식 (동아대학교 기계산업시스템공학부)
  • Published : 2004.11.01
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Abstract

Wear volume was used generally to analyze the moving state of lubricated machine. But It is difficult of getting the correct wear volume because wear volume of it is progressed always unstably with a large amplitude on working condition. If correct analysis of wear volume on working condition for lubricated machine can be possible, it can be effect on diagnosis of failure condition. The purpose of this study is carried out to analysis friction factors affecting on wear volume for prediction of failure condition of alloy steel for machine structural use by design of experiment. The results show that the most important friction factors affecting on wear volume was applied load, neat sliding distance, sliding speed and materials.

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