Ling Ju , Kai-Shang Li , Lv-Yi Cheng , Hang-Hang Gu , Run-Zi Wang , Xian-Cheng Zhang , Shan-Tung Tu
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引用次数: 0
Abstract
In this paper, a fatigue life prediction model of surface strengthening materials is proposed by considering dominant surface integrity parameters. The maximum residual stress and maximum microhardness of the surface strengthening materials are determined as the dominant parameters for the development of fatigue life prediction model according to the correlation analysis between surface integrity parameters and fatigue life. Firstly, an existing residual stress relaxation model is modified to characterize the relaxation process of residual stress with the number of cycles. Subsequently, a real applied stress on surface strengthening specimens is calculated by considering the effect of residual stress on the mean stress. The fatigue damage each cycle under the real applied stress that varies with cycles is calculated by introducing a correction factor related to the maximum microhardness. Finally, the fatigue life is predicted with the help of linear damage accumulation according to Miner’s rule. The developed model is verified on shot peened SS304, deep rolled TC4 and ultrasonic surface rolled TC4, exhibiting a good agreement with experimental results.
期刊介绍:
Typical subjects discussed in International Journal of Fatigue address:
Novel fatigue testing and characterization methods (new kinds of fatigue tests, critical evaluation of existing methods, in situ measurement of fatigue degradation, non-contact field measurements)
Multiaxial fatigue and complex loading effects of materials and structures, exploring state-of-the-art concepts in degradation under cyclic loading
Fatigue in the very high cycle regime, including failure mode transitions from surface to subsurface, effects of surface treatment, processing, and loading conditions
Modeling (including degradation processes and related driving forces, multiscale/multi-resolution methods, computational hierarchical and concurrent methods for coupled component and material responses, novel methods for notch root analysis, fracture mechanics, damage mechanics, crack growth kinetics, life prediction and durability, and prediction of stochastic fatigue behavior reflecting microstructure and service conditions)
Models for early stages of fatigue crack formation and growth that explicitly consider microstructure and relevant materials science aspects
Understanding the influence or manufacturing and processing route on fatigue degradation, and embedding this understanding in more predictive schemes for mitigation and design against fatigue
Prognosis and damage state awareness (including sensors, monitoring, methodology, interactive control, accelerated methods, data interpretation)
Applications of technologies associated with fatigue and their implications for structural integrity and reliability. This includes issues related to design, operation and maintenance, i.e., life cycle engineering
Smart materials and structures that can sense and mitigate fatigue degradation
Fatigue of devices and structures at small scales, including effects of process route and surfaces/interfaces.