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research-article

FATIGUE LIFE PREDICTION OF VORTEX REDUCER BASED ON STRESS GRADIENT

[+] Author and Article Information
Yanbin Luo

School of Energy and Power Engineering, Beihang University, Beijing, China
luoyanbin1206@buaa.edu.cn

Bo Zhong

School of Energy and Power Engineering, Beihang University, Beijing, China
zhongbobuaa@163.com

Xiaojie Zhang

School of Energy and Power Engineering, Beihang University, Beijing, China
zxjbuaa@buaa.edu.cn

Yanrong Wang

Professor, School of Energy and Power Engineering, Beihang University, Beijing, China
yrwang@buaa.edu.cn

Jiazhe Zhao

School of Energy and Power Engineering, Beihang University, Beijing, China
zhaojiazhe@buaa.edu.cn

1Corresponding author.

ASME doi:10.1115/1.4042189 History: Received June 28, 2018; Revised December 01, 2018

Abstract

The effects of stress gradient and size effect on fatigue life are investigated based on the distributions of stress at notch root of the notched specimens of GH4169 alloy. The relationship between the life of the notched specimens and the smooth specimens is correlated by introducing the stress gradient effect factor, and a new life model of predicting the notched specimens based on the Walker modification for the mean stress effect is established. In order to improve the prediction precision of life model with the equation parameters having a definite physical significance, the relationships among fatigue parameters, monotonic ultimate tensile strength and reduction of area are established. Three-dimensional elastic finite element (FE) analysis of a vortex reducer is carried out to obtain the data of stress and strain for predicting its life. The results show that there is a high-stress gradient at the edge of the air holes of the vortex reducer, and it is thus a dangerous point for fatigue crack initiation. The prediction result of the vortex reducer is more reasonable if the mean stress, stress gradient and size effect are considered comprehensively. The developed life model can reflect the effects of many factors well, especially the stress concentration. The life of the notched specimens predicted by this model give a high estimation precision, and the prediction life data mainly fall into the scatter band of factor 2.

Copyright (c) 2018 by ASME
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