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تجزیه و تحلیل شکست مهندسی
جزئیات رویداد
اینستاگرام تی پی بین
همایش ، رویداد ، ژورنال
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  • a new model of creep rupture data extrapolation based on power processes

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    • تاریخ ارائه: 1390/01/01
    • تاریخ انتشار در تی پی بین: 1390/01/01
    • تعداد بازدید: 578
    • تعداد پرسش و پاسخ ها: 0
    • شماره تماس دبیرخانه رویداد: -
     creep life assessment is a major concern in many engineering components and structures operating at elevated temperatures, such as those in aviation, petrochemical, power generation, and other industries, because of safety and economic reasons. over the past several decades, considerable efforts have been exerted to gain a fundamental understanding of creep mechanisms and to develop many techniques in creep life prediction. some examples are the larson–miller parametric method, the monkman–grant relationship, and the h-projection method. other methodologies exhibiting more flexibility in parametric analysis of creep data have been proposed, such as the manson’s minimum commitment method and its subsequent refinements. the larson–miller parametric method is commonly used in various heat-resistant steels and super alloys. unfortunately, it lacks considerations on stress relaxation performance and microstructural deterioration of components. thus, it cannot be used in extrapolations above the lower stress range. the larson–miller parametric method has poor accuracy of long-term creep life prediction. this paper introduces a new data assessment method for creep rupture, based on power processes. results of the model describing the relationship between stress and time to rupture closely agree with the test data and coincide with the extrapolated values. furthermore, the model shows enhanced rigorousness of the long-term creep life prediction. the more accurate representation of this assessment method relative to the traditional larson–miller parametric (lmp) method is demonstrated by comparisons with test data for 2.25cr1.0mo steel and tial-base intermetallics.

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