Deep learning-based monitoring of surface residual stress and efficient sensing of AE for laser shock peening

Author:

Zhang ZhifenORCID,Qin RuiORCID,Li Geng,Du Zhengyao,Li Zhiwen,Lin Yingying,He Weifeng

Funder

National Natural Science Foundation of China

Foundation of Equipment Pre-research Area

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Metals and Alloys,Computer Science Applications,Modeling and Simulation,Ceramics and Composites

Reference34 articles.

1. Aerospace Material Specification-Laser Peening;Aerospace,2004

2. ’Effect of plate wave dispersion on the acoustic emission parameters in metals’;Aggelis;Comput. Struct.,2012

3. Residual Stress Induced by Rapid Impact-Applications of Laser Shocking;Ballard,1991

4. Deaton Jr, John Broddus, Magdi Naim Azer, Donald Eugene Williams, Mark Samuel Bailey, Matthew Alan Foister, Michael Paul Hausfeld, and John Jefferson West. 2010. System and Method for Controlling Laser Shock Peening. Google Patents.

5. Attention-based BiLSTM fused CNN with gating mechanism model for Chinese long text classification;Deng;Comput. Speech Lang.,2021

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