Prediction of residual stress in superalloys by low energy laser shock peening based on inherent strain theory and finite element method DOI
Yilong Cao, Changfeng Yao, Liang Tan

et al.

The International Journal of Advanced Manufacturing Technology, Journal Year: 2025, Volume and Issue: unknown

Published: May 29, 2025

Language: Английский

A Machine learning-based model to predict residual stress in aluminum shell formed by shot peening DOI

Amirhossein Golmohammadi,

Hossein Soroush,

S. Khodaygan

et al.

International Journal of Solids and Structures, Journal Year: 2025, Volume and Issue: unknown, P. 113250 - 113250

Published: Feb. 1, 2025

Language: Английский

Citations

1
Incorporating machine learning in shot peening and laser peening: A review and beyond DOI
Rui Qin, Zhifen Zhang, James Griffin

et al.

Advanced Engineering Informatics, Journal Year: 2025, Volume and Issue: 65, P. 103350 - 103350

Published: April 14, 2025

Language: Английский

Citations

0
Framework development for a SAVY-4000 nuclear material storage container structural integrity surveillance tool DOI

Joseph Hafen,

Jon W. Teague,

B. T. Fleming

et al.

Nuclear Engineering and Design, Journal Year: 2025, Volume and Issue: 439, P. 114064 - 114064

Published: April 25, 2025

Language: Английский

Citations

0
Prediction of residual stress in superalloys by low energy laser shock peening based on inherent strain theory and finite element method DOI
Yilong Cao, Changfeng Yao, Liang Tan

et al.

The International Journal of Advanced Manufacturing Technology, Journal Year: 2025, Volume and Issue: unknown

Published: May 29, 2025

Language: Английский

Citations

0