Development of Maximum Residual Stress Prediction Technique for Shot-Peened Specimen Using Rayleigh Wave Dispersion Data Based on Convolutional Neural Network

Development of Maximum Residual Stress Prediction Technique for Shot-Peened Specimen Using Rayleigh Wave Dispersion Data Based on Convolutional Neural Network

Shot peening is a surface treatment process that improves the fatigue life of a material and suppresses cracks by generating residual stress on the surface. The injected small shots create a compressive residual stress layer on the material’s surface. Maximum compressive residual stress occurs at a...

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Bibliographic Details
Main Authors: Yeong-Won Choi, Taek-Gyu Lee, Yun-Taek Yeom, Sung-Duk Kwon, Hun-Hee Kim, Kee-Young Lee, Hak-Joon Kim, Sung-Jin Song
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Materials
Subjects:
shot peened
residual stress
Rayleigh wave
convolutional neural network
Inconel 718
Online Access:https://www.mdpi.com/1996-1944/16/23/7406

Internet

https://www.mdpi.com/1996-1944/16/23/7406

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