Probabilistic fatigue life prediction model for alloys with defects: Applied to A206

被引:23
作者
Kapoor, R. [1 ,2 ]
Rao, V. Sree Hari [3 ]
Mishra, R. S. [1 ,2 ]
Baumann, J. A. [4 ]
Grant, G. [5 ]
机构
[1] Missouri Univ Sci & Technol, Ctr Frict Stir Proc, Rolla, MO 65409 USA
[2] Missouri Univ Sci & Technol, Dept Mat Sci & Engn, Rolla, MO 65409 USA
[3] Missouri Univ Sci & Technol, Dept Math & Stat, Rolla, MO 65409 USA
[4] Boeing Co, St Louis, MO 63166 USA
[5] Pacific NW Natl Lab, Richland, WA 99352 USA
基金
美国国家科学基金会;
关键词
Fatigue; Probabilistic life prediction; Friction stir processing; Cast alloys; Al alloys; HIGH-CYCLE FATIGUE; CRACK GROWTH; MECHANICAL-PROPERTIES; ALUMINUM-ALLOY; MG ALLOY; MICROSTRUCTURE; BEHAVIOR; INITIATION; POROSITY; PERFORMANCE;
D O I
10.1016/j.actamat.2011.02.019
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A model for the prediction of fatigue life based on the statistical distribution of pores, intermetallic particles and grains is presented here. This has been applied to a cast Al alloy A206 before and after friction stir processing (FSP). The model computes the probability of initiating a small crack based on the probability of finding combinations of defects and grains on the surface. Crack initiation and the propagation life of small cracks due to these defect and grain combinations are computed and summed to obtain the total fatigue life. The defect and grain combinations are ranked according to total fatigue life and the failure probability computed. Bending fatigue experiments were carried out on A206 before and after FSP. FSP eliminated the porosity, broke down the particles and refined the microstructure. The model predicted the fatigue life of A206 before and after FSP well. The cumulative probability distribution vs. fatigue life was fitted to a three parameter Weibull distribution function. The scatter reduced after FSP and the fatigue threshold increased. The potential improvement in the fatigue life of A206 for a microstructure consisting of a finer distribution of particle sizes after FSP was predicted using the model. (C) 2011 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:3447 / 3462
页数:16
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