Exploring Machine Learning and Machine Vision in Femtosecond Laser Machining

被引:0
|
作者
Hoskins, Julia K. [1 ,2 ]
Hu, Han [2 ]
Zou, Min [1 ,2 ]
机构
[1] Department of Mechanical Engineering, University of Arkansas, Fayetteville,AR,72701, United States
[2] Center for Advanced Surface Engineering, University of Arkansas, Fayetteville,AR,72701, United States
来源
基金
美国国家科学基金会;
关键词
1106.8 Computer Vision - 1202.1 Probability Theory - 1202.2 Mathematical Statistics - 201.8.2.2 Welding Equipment - 603.1 Machine Tool Accessories - 604.1 Metal Cutting - 744 Lasers and Masers - 744.6 Laser Applications;
D O I
10.1115/1.4063646
中图分类号
学科分类号
摘要
19
引用
收藏
相关论文
共 50 条
  • [31] Energy prediction for CNC machining with machine learning
    Brillinger, Markus
    Wuwer, Marcel
    Hadi, Muaaz Abdul
    Haas, Franz
    CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY, 2021, 35 : 715 - 723
  • [32] Femtosecond laser machining
    Ostendorf, A
    CLEO(R)/PACIFIC RIM 2001, VOL I, TECHNICAL DIGEST, 2001, : 296 - 297
  • [33] Monitoring method for machining tool wear based on machine vision
    Cheng X.
    Yu J.-B.
    Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 2021, 55 (05): : 896 - 904
  • [34] Online Measurement of Machining Tool Wear Based on Machine Vision
    Zhou J.
    Yu J.
    Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2021, 55 (06): : 741 - 749
  • [35] Determination of Femtosecond Laser Direct Written Waveguide Refractive Index Using Machine Learning
    Wang, Mohan
    Huang, Sheng
    Wu, Jingyu
    Zhao, Kehao
    Mao, Zhi-Hong
    Chen, Kevin P.
    2020 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO), 2020,
  • [36] Measurement of Electrochemical Machining Initial Gap Based on Machine Vision
    Kang, Min
    Li, Houshang
    Fu, Xiuqing
    FRONTIERS OF MANUFACTURING SCIENCE AND MEASURING TECHNOLOGY, PTS 1-3, 2011, 230-232 : 1190 - 1194
  • [37] MACHINE SETUP ABNORMALITY DETECTION USING MACHINE VISION AND DEEP LEARNING
    Choudhari, Sahil J.
    Singh, Swarit Anand
    Kumar, Aitha Sudheer
    Desai, K. A.
    PROCEEDINGS OF ASME 2022 17TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE, MSEC2022, VOL 1, 2022,
  • [38] MACHINE VISION FOR SURFACE DEFECTS CATEGORISATION IN FOUNDRIES BASED ON MACHINE LEARNING
    Pastor-Lopez, Iker
    de-la-Pena-Sordo, Jorge
    Rojas, Sendoa
    Santos, Igor
    Bringas, Pablo G.
    DYNA, 2014, 89 (03): : 325 - 332
  • [39] Editorial: Machine vision and machine learning for plant phenotyping and precision agriculture
    Liu, Huajian
    Xu, Zhanyou
    FRONTIERS IN PLANT SCIENCE, 2023, 14
  • [40] Machine vision systems using machine learning for industrial product inspection
    Lu, Y
    Chen, TQ
    Chen, J
    Zhang, JX
    Tisler, A
    MACHINE VISION AND THREE-DIMENSIONAL IMAGING SYSTEMS FOR INSPECTION AND METROLOGY II, 2002, 4567 : 161 - 170