A probabilistic model for prediction of LCF life of PM alloys

Xiao Jun Yan; Hao Yue li; Jing Xu Nie

doi:10.1108/00022660410536014

A probabilistic model for prediction of LCF life of PM alloys

Xiao Jun Yan
, Hao Yue li
, Jing Xu Nie

能源与动力工程学院

Beihang University

科研成果: 期刊稿件 › 文章 › 同行评审

2 引用（Scopus）

摘要

Inclusions have been shown to be the most significant factor to decrease the low cycle fatigue (LCF) life in powder metallurgy (PM) alloys used by most of turbine discs for advanced turboengines. In this paper, effects of inclusions on PM alloys' LCF life are evaluated through the definition of initial damage value D₀ based on damage mechanics. By investigating the relationship between D₀ and characteristic dimension of inclusions, Bussac's probabilistic model is extended to consider surface and internal inclusions together.

源语言	英语
页（从-至）	286-292
页数	7
期刊	Aircraft Engineering and Aerospace Technology
卷	76
期	3
DOI	https://doi.org/10.1108/00022660410536014
出版状态	已出版 - 1 6月 2004

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N2 - Inclusions have been shown to be the most significant factor to decrease the low cycle fatigue (LCF) life in powder metallurgy (PM) alloys used by most of turbine discs for advanced turboengines. In this paper, effects of inclusions on PM alloys' LCF life are evaluated through the definition of initial damage value D0 based on damage mechanics. By investigating the relationship between D0 and characteristic dimension of inclusions, Bussac's probabilistic model is extended to consider surface and internal inclusions together.

AB - Inclusions have been shown to be the most significant factor to decrease the low cycle fatigue (LCF) life in powder metallurgy (PM) alloys used by most of turbine discs for advanced turboengines. In this paper, effects of inclusions on PM alloys' LCF life are evaluated through the definition of initial damage value D0 based on damage mechanics. By investigating the relationship between D0 and characteristic dimension of inclusions, Bussac's probabilistic model is extended to consider surface and internal inclusions together.

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KW - Metallurgy

KW - Modelling

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A probabilistic model for prediction of LCF life of PM alloys

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