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

School of Energy and Power Engineering

Beihang University

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	286-292
Number of pages	7
Journal	Aircraft Engineering and Aerospace Technology
Volume	76
Issue number	3
DOIs	https://doi.org/10.1108/00022660410536014
State	Published - 1 Jun 2004

Keywords

Alloys
Metallurgy
Modelling

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10.1108/00022660410536014

Cite this

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abstract = "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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AU - li, Hao Yue

AU - Nie, Jing Xu

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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.

KW - Alloys

KW - Metallurgy

KW - Modelling

UR - https://www.scopus.com/pages/publications/2542563524

U2 - 10.1108/00022660410536014

DO - 10.1108/00022660410536014

M3 - 文章

AN - SCOPUS:2542563524

SN - 1748-8842

VL - 76

SP - 286

EP - 292

JO - Aircraft Engineering and Aerospace Technology

JF - Aircraft Engineering and Aerospace Technology

IS - 3

ER -

A probabilistic model for prediction of LCF life of PM alloys

Abstract

Keywords

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