研究论文
Optimizing laser powder bed fusion of Ti-5Al-5V-5Mo-3Cr by artificial intelligence
Da Seul Shin, Chi Hun Lee, U. Kühn, Seung Chul Lee, Seong Jin Park, Holger Schwab, S. Scudino, Konrad Kosiba
Pohang University of Science and Technology Leibniz Institute for Solid State and Materials Research Korea Institute of Materials Science
来源Journal of Alloys and Compounds
年份2020
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学术脉络
学科主题
工程Additive Manufacturing Materials and Processes
Machine Learning in Materials Science · Additive Manufacturing and 3D Printing Technologies
参考文献 72
Process optimisation of selective laser melting using energy density model for nickel based superalloys
被引 224L. N. Carter, X. Wang, Noriko Read · Materials Science and Technology · 2015
Density Prediction of Selective Laser Sintering Parts Based on Artificial Neural Network
被引 41Xianfeng Shen, Jin Yao, Yang Wang · Lecture notes in computer science · 2004
Selective Laser Melting of Titanium Alloys and Titanium Matrix Composites for Biomedical Applications: A Review
被引 725Lai‐Chang Zhang, Hooyar Attar · Advanced Engineering Materials · 2015
此处列出前 3 条
引用本文 52
Research and application of machine learning for additive manufacturing
被引 385Jian Qin, Fu Yuan Hu, Ying Liu · Additive manufacturing · 2022
Recent innovations in laser additive manufacturing of titanium alloys
被引 158Jinlong Su, Fulin Jiang, Jie Teng · International Journal of Extreme Manufacturing · 2024
Process modeling in laser powder bed fusion towards defect detection and quality control via machine learning: The state-of-the-art and research challenges
被引 130Peng Wang, Yiran Yang, Narges Shayesteh Moghaddam · Journal of Manufacturing Processes · 2021
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