대한기계학회논문집A (Transactions of the Korean Society of Mechanical Engineers A)

  • 제26권9호
  • /
  • Pages.1746-1752
  • /
  • 2002
  • /
  • 1226-4873(pISSN)
  • /
  • 2288-5226(eISSN)
대한기계학회 (The Korean Society of Mechanical Engineers)
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Prediction of Fatigue Life using Extreme Statistics Analysis

  • 이동우 (동아대학교 기계산업시스템공학부) ;
  • 홍순혁 (동아대학교 대학원 기계공학과) ;
  • 조석수 (삼척대학교 기계·정밀기계·자동차공학부) ;
  • 주원식
  • Lee, Dong-U (Dept.of Mechanicals Industry System Engineering, Donga University) ;
  • Hong, Sun-Hyeok (Dept.of Mechanicals Engineering, Graduate School of Donga University) ;
  • Jo, Seok-Su (Dept.of Mechanical Precision Machine Automotive Engineering, Samcheok National University) ;
  • Ju, Won-Sik
  • 발행 : 2002.09.01
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초록

Fatigue fracture in machine components is produced by surface micro-crack from stress concentration area such as notch and material defect. It is difficult to predict the remaining fatigue lift of mechanical components because the surface micro-crack on critical area initiates and grows with statistical distribution. Plane bending fatigue tests were carried out on the plain specimen of Al 2024-T3 and the initiation and growth behavior of surface micro cracks were observed. The statistical distribution of surface length of multiple micro cracks and their maximum length were investigated. The maximum surface crack length distributions were analyzed on the basis of the statistics of extremes in order to examine the prediction of remaining life.

키워드

참고문헌

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