A review of machine learning in additive manufacturing: design and process

被引:0
|
作者
Chen, Kefan [1 ]
Zhang, Peilei [2 ]
Yan, Hua [2 ]
Chen, Guanglong [1 ]
Sun, Tianzhu [3 ]
Lu, Qinghua [2 ]
Chen, Yu [4 ]
Shi, Haichuan [2 ]
机构
[1] School of Mathematics, Physics & amp,Statistics, Shanghai University of Engineering Science, Shanghai,201620, China
[2] School of Materials Science and Engineering, Shanghai University of Engineering Science, Shanghai,201620, China
[3] Warwick Manufacturing Group (WMG), University of Warwick, Coventry,CV4 7AL, United Kingdom
[4] Amplitude Shanghai Laser Technology Company Ltd., Shanghai,200127, China
关键词
177;
D O I
10.1007/s00170-024-14543-2
中图分类号
学科分类号
摘要
引用
收藏
页码:1051 / 1087
相关论文
共 50 条
  • [41] A review of machine learning techniques for process and performance optimization in laser beam powder bed fusion additive manufacturing
    Jia Liu
    Jiafeng Ye
    Daniel Silva Izquierdo
    Aleksandr Vinel
    Nima Shamsaei
    Shuai Shao
    [J]. Journal of Intelligent Manufacturing, 2023, 34 : 3249 - 3275
  • [42] Intelligent laser-based metal additive manufacturing: A review on machine learning for process optimization and property prediction
    Moradi, Alireza
    Tajalli, Sanae
    Mosallanejad, Mohammad Hossein
    Saboori, Abdollah
    [J]. International Journal of Advanced Manufacturing Technology, 2024,
  • [43] A review of machine learning techniques for process and performance optimization in laser beam powder bed fusion additive manufacturing
    Liu, Jia
    Ye, Jiafeng
    Izquierdo, Daniel Silva
    Vinel, Aleksandr
    Shamsaei, Nima
    Shao, Shuai
    [J]. JOURNAL OF INTELLIGENT MANUFACTURING, 2023, 34 (08) : 3249 - 3275
  • [44] Machine learning and sensor-based approach for defect detection in MEX additive manufacturing process- A Review
    Avinash Selot
    R. K. Dwivedi
    [J]. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2023, 45
  • [45] Machine learning and sensor-based approach for defect detection in MEX additive manufacturing process- A Review
    Selot, Avinash
    Dwivedi, R. K.
    [J]. JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2023, 45 (10)
  • [46] A Design Framework for Additive Manufacturing: Integration of Additive Manufacturing Capabilities in the Early Design Process
    Renjith, Sarath C.
    Park, Kijung
    Okudan Kremer, Gul E.
    [J]. INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, 2020, 21 (02) : 329 - 345
  • [47] A Design Framework for Additive Manufacturing: Integration of Additive Manufacturing Capabilities in the Early Design Process
    Sarath C. Renjith
    Kijung Park
    Gül E. Okudan Kremer
    [J]. International Journal of Precision Engineering and Manufacturing, 2020, 21 : 329 - 345
  • [48] Design Strategies for the Process of Additive Manufacturing
    Klahn, Christoph
    Leutenecker, Bastian
    Meboldt, Mirko
    [J]. CIRP 25TH DESIGN CONFERENCE INNOVATIVE PRODUCT CREATION, 2015, 36 : 230 - 235
  • [49] Machine learning and knowledge graph based design rule construction for additive manufacturing
    Ko, Hyunwoong
    Witherell, Paul
    Lu, Yan
    Kim, Samyeon
    Rosen, David W.
    [J]. ADDITIVE MANUFACTURING, 2021, 37
  • [50] Big data, machine learning, and digital twin assisted additive manufacturing: A review
    Jin, Liuchao
    Zhai, Xiaoya
    Wang, Kang
    Zhang, Kang
    Wu, Dazhong
    Nazir, Aamer
    Jiang, Jingchao
    Liao, Wei-Hsin
    [J]. MATERIALS & DESIGN, 2024, 244