研究论文
A Machine learning-based model to predict residual stress in aluminum shell formed by shot peening
Amirhossein Golmohammadi, Hossein Soroush, S. Khodaygan
Sharif University of Technology
来源International Journal of Solids and Structures
年份2025
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工程Surface Treatment and Residual Stress
Advanced machining processes and optimization · High-Velocity Impact and Material Behavior
参考文献 48
Modelling of residual stresses in the shot peened material C-1020 by artificial neural network
被引 58Çetin Karataş, Adnan Sözen, Emrah Dülek · Expert Systems with Applications · 2008
Experimental study of shot peening and stress peen forming
被引 212H.Y. Miao, Denis Demers, Simon Larose · Journal of Materials Processing Technology · 2010
此处列出前 3 条
施引文献 11
Incorporating machine learning in shot peening and laser peening: A review and beyond
被引 12Rui Qin, Zhifen Zhang, James Griffin · Advanced Engineering Informatics · 2025
Energy-efficient hybrid cooling system: Integrating direct and indirect evaporative cooling with the Maisotsenko cycle
被引 6Mohammad Ali Bakhtiari, Seyed Mohammadali Hosseinian, Mehdi Tohidloo · Results in Engineering · 2025
Enhancing fatigue life of SS316L via shot peening and machine learning
被引 4Hari Krishna Chirala, Chandan Mondal, U. Chandrasekhar · Surface Engineering · 2025
按被引量排序，此处列出前 3 条