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Research article

First published 2018-12

Effect of shot peening coverage on residual stress field and surface roughness

Bin Qiang, Yadong Li, Changrong Yao [...]

Surface Engineering

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Research article

First published 2016-11

Shot peening coverage effect on residual stress profile by FE random impact analysis

A. Ghasemi, S. M. Hassani-Gangaraj, A. H. Mahmoudi [...]

Surface Engineering

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Research article

First published 2017-9

New approach to estimate coverage parameter in 3D FEM shot peening simulation

Trung Quang Pham, Nay Win Khun, David Lee Butler

Surface Engineering

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Research article

First published 2018-4

Empirical modeling of compressive residual stress profile in shot peening TC17 alloy using characteristic parameters and sinusoidal decay function

Liang Tan, Changfeng Yao, Dinghua Zhang [...]

Proceedings of the Institution of Mechanical Engineers,Part B: Journal of Engineering Manufacture

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Research article

First published 2025-8

Enhancing fatigue life of SS316L via shot peening and machine learning

HariKrishna Chirala, Chandan Mondal, Chandrasekhar Udayagiri [...]

Surface Engineering

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Research article

First published 2003-8

Effect of surface properties on high cycle fatigue behaviour of shot peened ductile steel

R. Fathallah, H. Sidhom, C. Braham [...]

Materials Science and Technology

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Research article

First published 2017-11

Smoothed particle hydrodynamics (SPH) modeling of shot peening process

Xiangwei Dong, G.R. Liu, Zengliang Li [...]

Journal of Computational Methods in Sciences and Engineering

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Research article

First published 2010-5

Multiple impact modelling for shot peening and peen forming

X Kang, T Wang, J Platts

Proceedings of the Institution of Mechanical Engineers,Part B: Journal of Engineering Manufacture

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Research article

First published 2024-4

Scratch and wear resistance of interstitial-free steel subjected to severe shot peening

Bibekananda Sahoo, Udaya Bhat K., Muralidhara

Materials Science and Technology

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Research article

First published 2002-8

Shot peening process: Modelling,verification,and optimisation

R. W. Evans

Materials Science and Technology

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