A numerical–analytical approach to predict the effects of shot peening on the fatigue performance of the nickel-based super alloy Waspaloy

Author:

Seddik Raoudha1,Ben Sghaier Rabii1,Fathallah Raouf1

Affiliation:

1. Laboratory of Mechanics of Sousse, National Engineering School of Sousse, University of Sousse, Sousse, Tunisia

Abstract

This paper presents a combined numerical–analytical approach to consider the effects of shot-peening surface treatment on the fatigue performance of metallic parts. This approach has the advantage to take into account both the favorable and unfavorable shot-peening effects. It is constituted by three principle steps: (i) a 3D finite element active simulation of the shot-peening process; (ii) prediction of the change of the shot-peened surface properties during the applied cyclic loading; and (iii) prediction of the change of the fatigue performances for both limited and high number of cycles. An application has been carried out on the aeronautical-based nickel super-alloy material, Waspaloy. The obtained results are in good correlation with available experimental investigations results and physically consistent. This proposed approach can be used to determine the optimum shot-peening conditions.

Publisher

SAGE Publications

Subject

Mechanical Engineering,General Materials Science

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Machine Learning-Based Analysis of Surface Hardening in Shot-Peened Superalloys;Journal of Materials Engineering and Performance;2024-08-13

2. Crystal plasticity model of surface integrity effects on fatigue properties after Milling: An investigation on AISI 4140 steel;International Journal of Fatigue;2022-10

3. Numerical simulation of post-weld shot peening using combined discrete and finite element methods (DEM-FEM);Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2022-05-18

4. Coupled finite and discrete element shot peening simulation based on Johnson–Cook material model;Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications;2020-05-05

5. Fatigue strength prediction methodology of shot-peened materials;The International Journal of Advanced Manufacturing Technology;2019-08-13

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