Development of Maximum Residual Stress Prediction Technique for Shot-Peened Specimen Using Rayleigh Wave Dispersion Data Based on Convolutional Neural Network.
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| Title: | Development of Maximum Residual Stress Prediction Technique for Shot-Peened Specimen Using Rayleigh Wave Dispersion Data Based on Convolutional Neural Network. |
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| Authors: | Choi, Yeong-Won1 (AUTHOR) 0won@skku.edu, Lee, Taek-Gyu2 (AUTHOR) taekgyu.lee@doosan.com, Yeom, Yun-Taek3 (AUTHOR) ytyeom@dyu.ac.kr, Kwon, Sung-Duk4 (AUTHOR) sdkwon@anu.ac.kr, Kim, Hun-Hee2 (AUTHOR) hunhee1.kim@doosan.com, Lee, Kee-Young5 (AUTHOR) kylee@kpccorp.co.kr, Kim, Hak-Joon1 (AUTHOR) hjkim21c@skku.edu, Song, Sung-Jin1 (AUTHOR) sjsong@skku.edu |
| Source: | Materials (1996-1944). Dec2023, Vol. 16 Issue 23, p7406. 12p. |
| Database: | Academic Search Ultimate |
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| ISSN: | 19961944 |
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| DOI: | 10.3390/ma16237406 |
