研究论文
Artificial neural network and ANFIS approaches for mechanical properties prediction and optimization of a turbine blade treated by laser shock peening
Manel Ayeb, Mourad Turki, Mounir Frija, Raouf Fathallah
University of Sfax University of Sousse University of Monastir Institut Supérieur des Études Technologiques de Gafsa
来源Expert Systems with Applications
年份2024
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逐年被引趋势
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26
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21
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学术脉络
学科主题
工程Surface Treatment and Residual Stress
Healthcare and Venom Research · Erosion and Abrasive Machining
参考文献 39
Numerical simulation of residual stress field induced by laser shock processing with square spot
被引 19Ziwen Cao, Zhigang Che, Shikun Zou · Journal of Shanghai University (English Edition) · 2011
Optimizing Residual Stress Profile Induced by Laser Shock Peening Using DOE Technique
被引 4Mounir Frija, R. Ben Sghaier, Chokri Bouraoui · Applied Mechanics and Materials · 2011
A novel approach for ANFIS modelling based on full factorial design
被引 293Mrinal Buragohain, Chitralekha Mahanta · Applied Soft Computing · 2007
此处列出前 3 条
施引文献 21
Artificial Intelligence-Driven Innovations in Laser Processing of Metallic Materials
被引 28Serguei P. Murzin · Metals · 2024
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
A Machine learning-based model to predict residual stress in aluminum shell formed by shot peening
被引 11Amirhossein Golmohammadi, Hossein Soroush, S. Khodaygan · International Journal of Solids and Structures · 2025
按被引量排序,此处列出前 3 条