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구리크롬 합금의 소성 변형률 에너지 밀도를 이용한 저주기 피로수명 평가 시 다양한 온도 영향성 검토
박종찬(Jongchan Park),김재훈(Jae-Hoon Kim),이금오(Keum-Oh Lee) 대한기계학회 2022 대한기계학회 춘추학술대회 Vol.2022 No.11
Fatigue tests were performed at room temperature up to 700℃ on Cu-0.6wt%Cr, which is one of the copper chromium alloys, and fatigue lives were evaluated using Morrow equation considering plastic strain energy density as the fatigue damage parameter. It was confirmed that predicted lives matched well with test lives within scatter bad two under same temperature conditions. When temperature conditions are changed, however, material constants for the equation needs to be updated, which is cumbersome. So it will be useful to express fatigue life as a single equation regardless of temperatures. Two methods were applied: the method of dividing plastic strain energy by some correction factor and the method of expressing material constants as functions of temperature. As results of evaluations, it was found the prediction accuracy is quite good when tensile toughness is considered as a correction factor in the former case, and when material constants are expressed as a 3rd order polynomial of temperature in the latter case.
구리크롬 합금의 소성 변형률 에너지 밀도를 이용한 저주기 피로수명 평가 시 다양한 온도 영향성 검토
박종찬(Jongchan Park),김재훈(Jae-Hoon Kim),이금오(Keum-Oh Lee) 대한기계학회 2022 대한기계학회 춘추학술대회 Vol.2022 No.11
Fatigue tests were performed at room temperature up to 700℃ on Cu-0.6wt%Cr, which is one of the copper chromium alloys, and fatigue lives were evaluated using Morrow equation considering plastic strain energy density as the fatigue damage parameter. It was confirmed that predicted lives matched well with test lives within scatter bad two under same temperature conditions. When temperature conditions are changed, however, material constants for the equation needs to be updated, which is cumbersome. So it will be useful to express fatigue life as a single equation regardless of temperatures. Two methods were applied: the method of dividing plastic strain energy by some correction factor and the method of expressing material constants as functions of temperature. As results of evaluations, it was found the prediction accuracy is quite good when tensile toughness is considered as a correction factor in the former case, and when material constants are expressed as a 3rd order polynomial of temperature in the latter case.