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RESEARCH PAPER · Advanced Engineering Informatics · 2025

Incorporating machine learning in shot peening and laser peening: A review and beyond

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42 direct citing works

Incorporating machine learning in shot peening and laser peening: A review and beyondOriginalExplainable deep learning framework for residual stress monitoring in laser shock peening via acoustic emission2Research progress of laser shock peening with nanosecond and femtosecond lasers: applications, challenges, and future directions12Enhancing complex signal analysis via spectrally-driven nonlinear filtered cepstrum5Gradient microstructure evolution of high-strength alloy steel induced by shot peening4Ultrasonic rolling of 42CrMo Steel: Simulation-Based process optimization for high-efficiency and sustainable manufacturing7A Review: Mechanisms and Technical Evolution of Shot Peening for Aerospace0Time-stepping transferable neural networks for heat conduction with moving heat sources in additive manufacturing0Multilayer structured wavelet kernel network enabling interpretable feature extraction for industrial intelligent monitoring1The study on overlap rate with multiple laser shock peening of a high-strength steel in fatigue resistance and strengthening mechanism5Comprehensive unraveling of CT-derived defect characteristics in fused deposition modeling via machine learning: clustering, classification, regression and process correlation8Laser Shock Peening with Acoustic Emission In-Situ Monitoring for Quality Control0Surface strengthening of additively manufactured titanium alloy: combined laser shock and shot peening for enhanced mechanical and fatigue properties3Failure analysis of fillet cracking in the fir‑tree tenon of a first‑stage high‑pressure turbine blade for an aeroengine0An Intelligent Algorithm for Path Planning and Feed Rate Prediction in Shot Peening Forming of Complex Integral Panels0Overview of ultrasonic shot peening0Mechanistic investigation of residual stress formation in laser shock peening: An energy-based mechanistic parameter δ∗0Surface severe plastic deformation for manufacturing gradient nanostructured surfaces of metals: Processes, mechanisms, and performance0

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  1. Explainable deep learning framework for residual stress monitoring in laser shock peening via acoustic emission

    Journal of Industrial Information Integration · 2025-07-03

    Rui Qin, Zhifen Zhang, James Marcus Griffin, Jie Wang, Guangrui Wen, Weifeng He, Xuefeng Chen, Jing Huang

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  2. Research progress of laser shock peening with nanosecond and femtosecond lasers: applications, challenges, and future directions

    Optics & Laser Technology · 2025-07-07

    Hongzheng Han, Hongchao Qiao, Jibin Zhao, Ying Lü, Boyu Sun

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  3. Enhancing complex signal analysis via spectrally-driven nonlinear filtered cepstrum

    Journal of Sound and Vibration · 2025-08-11

    Rui Qin, Jing Huang

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  4. Gradient microstructure evolution of high-strength alloy steel induced by shot peening

    Mechanics of Materials · 2025-08-19

    Liangliang Lv, Wen Zhu Shao, Jinyuan Tang, Han Huang, Zhiqiang Liang, Jiuyue Zhao, Xin Li, Huanjun Xie

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  5. Ultrasonic rolling of 42CrMo Steel: Simulation-Based process optimization for high-efficiency and sustainable manufacturing

    Ultrasonics Sonochemistry · 2025-09-11

    Haojie Wang, Xiaoqiang Wang, Eric Velázquez‐Corral, Ramón Jerez‐Mesa

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  6. A Review: Mechanisms and Technical Evolution of Shot Peening for Aerospace

    Unknown journal · 2025-09-26

    Yueming Huo, Zhongpeng Zheng, Mai Xu, Yan Wang, Wenhui Li, Xiaoming Yin

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  7. Time-stepping transferable neural networks for heat conduction with moving heat sources in additive manufacturing

    Advanced Engineering Informatics · 2026-03-16

    Linhuan Yan, Boya Hu, Xiaofei Guan, Zihao Yang, Liang Ma

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  8. Multilayer structured wavelet kernel network enabling interpretable feature extraction for industrial intelligent monitoring

    Journal of Manufacturing Processes · 2026-03-21

    Rui Qin, Jing Huang, Zhifen Zhang, Guangrui Wen

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  9. The study on overlap rate with multiple laser shock peening of a high-strength steel in fatigue resistance and strengthening mechanism

    Optics & Laser Technology · 2026-04-21

    Yi Hou, Yuxuan Sheng, Weihua Song, Fenglei Li, Xiaoqiang Li, Shengguan Qu

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  10. Comprehensive unraveling of CT-derived defect characteristics in fused deposition modeling via machine learning: clustering, classification, regression and process correlation

    Composites Part A Applied Science and Manufacturing · 2026-05-20

    Shuailong Gao, Yixing Huang, Rujie He, Xiao Kang, Li, Ying Chun, 1972-

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  11. Laser Shock Peening with Acoustic Emission In-Situ Monitoring for Quality Control

    Engineering innovations · 2026-06-11

    James Marcus Griffin, Pratik P. Shukla, Rui Qin, Paul Butler Smith

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  12. Surface strengthening of additively manufactured titanium alloy: combined laser shock and shot peening for enhanced mechanical and fatigue properties

    International Journal of Fatigue · 2026-06-14

    Aoxing Peng, Xin Bai, Xuekun Luo, Yefei Feng, Bingqing Chen, Xin Wang, Yusheng Liu, Zengqian Liu, Z Zhang

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  13. Failure analysis of fillet cracking in the fir‑tree tenon of a first‑stage high‑pressure turbine blade for an aeroengine

    Engineering Failure Analysis · 2026-08-07

    Jun Zhang, Feilong Liu, Weidong Liu, Teng Fang, Jinfang Peng, Jianhua Liu, Minhao Zhu

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  14. An Intelligent Algorithm for Path Planning and Feed Rate Prediction in Shot Peening Forming of Complex Integral Panels

    Research Square · 2026-09-02

    Chuang Liu, Xianjie Zhang, Zhiyong Zhao

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  15. Overview of ultrasonic shot peening

    Elsevier eBooks · 2026-09-11

    Fei Yin

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  16. Mechanistic investigation of residual stress formation in laser shock peening: An energy-based mechanistic parameter δ∗

    International Journal of Solids and Structures · 2026-09-29

    Jianqiang Zhou, Shuaihu Shi, Y. Zhao, Jinwei Zhu, Yuelin Li, Zhidan Sun, 甘忠, Lei li

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  17. Surface severe plastic deformation for manufacturing gradient nanostructured surfaces of metals: Processes, mechanisms, and performance

    International Journal of Machine Tools and Manufacture · 2026-10-01

    Fei Yin, Shuaijun Li, Lin Hua

    Read original paper ↗ ·