研究论文
Machine learning assisted prediction and optimization of mechanical properties for laser powder bed fusion of Ti6Al4V alloy
Yuheng Cao, Chaoyue Chen, Songzhe Xu, Ruixin Zhao, Kai Guo, Tao Hu, Hanlin Liao, Jiang Wang 等 9 位
Shanghai University State Key Laboratory of Advanced Special Steel Centre National de la Recherche Scientifique Université de technologie de belfort-montbéliard
来源Additive manufacturing
年份2024
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逐年被引趋势
38190
24
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81
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11.23
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同类平均 = 1
同类平均 = 1
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同领域 · 同年份 · 同类型
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学术脉络
学科主题
工程Additive Manufacturing Materials and Processes
Machine Learning in Materials Science · Surface Treatment and Coatings
参考文献 84
PHASE TRANSFORMATIONS AND STRENGTHENING MECHANISMS IN THE ALLOY Ti--6Al-- 4V.
被引 6Paul J. Fopiano, M. B. Bever, B. L. Averbach · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 1969
Classification and Regression by randomForest
被引 17,947Andy Liaw, Matthew C. Wiener · 2007
A Unifying View of Sparse Approximate Gaussian Process Regression
被引 1,714Joaquin Quiñonero-Candela, Carl Edward Rasmussen · 2005
此处列出前 3 条
引用本文 81
Research on heat treatment of nickel–based superalloys by laser powder bed fusion: A review
被引 40Wenpeng Zheng, Yuman Zhu, Yong Zhang · Journal of Alloys and Compounds · 2024
Thermal distortion evolution and residual stress characteristics of Ti-6Al-4 V alloy by laser-directed energy deposition: In-situ monitoring, contour method, and XRD
被引 39Ruixin Wang, Chaoyue Chen, Tingwei Cao · Thin-Walled Structures · 2025
X-ray computed tomography in metal additive manufacturing: A review on prevention, diagnostic, and prediction of failure
被引 34Xin Sun, Lei Huang, B.G. Xiao · Thin-Walled Structures · 2024
按被引量排序，此处列出前 3 条