研究论文
Machine Learning-Based Analysis of Surface Hardening in Shot-Peened Superalloys
Paul Rodrigues, Mokhtar Massoud Kerwad, Shavan Askar, Harikumar Pallathadka, Dilsora Abduvalieva, Sajad Ali Zearah
King Khalid University Misurata University Sulaimani Polytechnic University Manipur University
来源Journal of Materials Engineering and Performance
年份2024
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逐年被引趋势
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325
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学术脉络
学科主题
工程Surface Treatment and Residual Stress
Additive Manufacturing Materials and Processes · High Temperature Alloys and Creep
参考文献 49
On the eigenstrain application of shot-peened residual stresses within a crystal plasticity framework: Application to Ni-base superalloy specimens
被引 74William D. Musinski, David L. McDowell · International Journal of Mechanical Sciences · 2015
Experimental assessment and simulation of surface nanocrystallization by severe shot peening
被引 205S.M. Hassani-Gangaraj, Ki Sub Cho, H. Voigt · Acta Materialia · 2015
Grain growth and microstructure evolution based mechanical property predicted by a modified Hall–Petch equation in hot worked Ni76Cr19AlTiCo alloy
被引 77Yakun Zhu, S.Z. Wang, B.L. Li · Materials & Design (1980-2015) · 2013
此处列出前 3 条
施引文献 3
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
Artificial intelligence meets laser technology: A review of recent advances
被引 8Suleiman M. Elhamali, Hmeda Musbah, Lubna Zawi · Results in Surfaces and Interfaces · 2025
Experimental Investigation, Characterization, and Deep Learning-Driven Analysis of Polymer-Based Thermal Protection Systems for Space Rocket Launch Conditions
被引 2Venkat Gaddam, C. Chandrasekhara Sastry, Pullarao Muvvala · Journal of Materials Engineering and Performance · 2025
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