Corrigendum to “Deep learning-based monitoring of surface residual stress and efficient sensing of AE for laser shock peening” [Vol., 303, May 2022, 117515](S0924013622000279)(10.1016/j.jmatprotec.2022.117515)

Zhifen Zhang; Rui Qin; Geng Li; Zhengyao Du; Zhiwen Li; Yingying Lin; Weifeng He

doi:10.1016/j.jmatprotec.2025.118946

Corrigendum to “Deep learning-based monitoring of surface residual stress and efficient sensing of AE for laser shock peening” [Vol., 303, May 2022, 117515](S0924013622000279)(10.1016/j.jmatprotec.2022.117515)

Zhifen Zhang
, Rui Qin
, Geng Li
, Zhengyao Du
, Zhiwen Li
, Yingying Lin
, Weifeng He

Xi'an Jiaotong University
Air Force Engineering University Xian

Research output: Contribution to journal › Comment/debate

Abstract

The authors regret the typographical error in subfigures (Energy (3.4 J)) and (Energy (3.8 J)) ofFig. 10 in this paper. The corrected Fig.

Original language	English
Article number	118946
Journal	Journal of Materials Processing Technology
Volume	342
DOIs	https://doi.org/10.1016/j.jmatprotec.2025.118946
State	Published - Aug 2025

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Zhang, Z., Qin, R., Li, G., Du, Z., Li, Z., Lin, Y., & He, W. (2025). Corrigendum to “Deep learning-based monitoring of surface residual stress and efficient sensing of AE for laser shock peening” [Vol., 303, May 2022, 117515](S0924013622000279)(10.1016/j.jmatprotec.2022.117515). Journal of Materials Processing Technology, 342, Article 118946. https://doi.org/10.1016/j.jmatprotec.2025.118946

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title = "Corrigendum to “Deep learning-based monitoring of surface residual stress and efficient sensing of AE for laser shock peening” [Vol., 303, May 2022, 117515](S0924013622000279)(10.1016/j.jmatprotec.2022.117515)",

abstract = "The authors regret the typographical error in subfigures (Energy (3.4 J)) and (Energy (3.8 J)) ofFig. 10 in this paper. The corrected Fig.",

author = "Zhifen Zhang and Rui Qin and Geng Li and Zhengyao Du and Zhiwen Li and Yingying Lin and Weifeng He",

note = "Publisher Copyright: {\textcopyright} 2025",

year = "2025",

month = aug,

doi = "10.1016/j.jmatprotec.2025.118946",

language = "英语",

volume = "342",

journal = "Journal of Materials Processing Technology",

issn = "0924-0136",

publisher = "Elsevier Ltd",

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Zhang, Z, Qin, R, Li, G, Du, Z, Li, Z, Lin, Y & He, W 2025, 'Corrigendum to “Deep learning-based monitoring of surface residual stress and efficient sensing of AE for laser shock peening” [Vol., 303, May 2022, 117515](S0924013622000279)(10.1016/j.jmatprotec.2022.117515)', Journal of Materials Processing Technology, vol. 342, 118946. https://doi.org/10.1016/j.jmatprotec.2025.118946

Corrigendum to “Deep learning-based monitoring of surface residual stress and efficient sensing of AE for laser shock peening” [Vol., 303, May 2022, 117515](S0924013622000279)(10.1016/j.jmatprotec.2022.117515). / Zhang, Zhifen; Qin, Rui; Li, Geng et al.
In: Journal of Materials Processing Technology, Vol. 342, 118946, 08.2025.

Research output: Contribution to journal › Comment/debate

TY - JOUR

T1 - Corrigendum to “Deep learning-based monitoring of surface residual stress and efficient sensing of AE for laser shock peening” [Vol., 303, May 2022, 117515](S0924013622000279)(10.1016/j.jmatprotec.2022.117515)

AU - Zhang, Zhifen

AU - Qin, Rui

AU - Li, Geng

AU - Du, Zhengyao

AU - Li, Zhiwen

AU - Lin, Yingying

AU - He, Weifeng

PY - 2025/8

Y1 - 2025/8

N2 - The authors regret the typographical error in subfigures (Energy (3.4 J)) and (Energy (3.8 J)) ofFig. 10 in this paper. The corrected Fig.

AB - The authors regret the typographical error in subfigures (Energy (3.4 J)) and (Energy (3.8 J)) ofFig. 10 in this paper. The corrected Fig.

UR - https://www.scopus.com/pages/publications/105008762289

U2 - 10.1016/j.jmatprotec.2025.118946

DO - 10.1016/j.jmatprotec.2025.118946

M3 - 评论/辩论

AN - SCOPUS:105008762289

SN - 0924-0136

VL - 342

JO - Journal of Materials Processing Technology

JF - Journal of Materials Processing Technology

M1 - 118946

ER -

Corrigendum to “Deep learning-based monitoring of surface residual stress and efficient sensing of AE for laser shock peening” [Vol., 303, May 2022, 117515](S0924013622000279)(10.1016/j.jmatprotec.2022.117515)

Abstract

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