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Sep.  2022
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HUANG Bo, ZHAO Fei, WANG Jia, HE Qingzhong, WANG Yufeng. Research on automatic assembly system based on machine vision[J]. Manufacturing Technology & Machine Tool, 2022, (9): 117-122. doi: 10.19287/j.mtmt.1005-2402.2022.09.018
Citation: HUANG Bo, ZHAO Fei, WANG Jia, HE Qingzhong, WANG Yufeng. Research on automatic assembly system based on machine vision[J]. Manufacturing Technology & Machine Tool, 2022, (9): 117-122. doi: 10.19287/j.mtmt.1005-2402.2022.09.018

Research on automatic assembly system based on machine vision

doi: 10.19287/j.mtmt.1005-2402.2022.09.018
  • Received Date: 2022-03-30
  • Accepted Date: 2022-07-12
  • Available Online: 2022-08-19
  • In the assembly process, most enterprises (especially small and medium-sized enterprises) use manual assembly at present, which results in large amount of labor and low assembly efficiency. Taking yb100 rotor oil pump as the research object, the 3D structure of virtual prototype is designed by SolidWorks software, the camera internal parameter calibration is done by Halcon, the hierarchical system control and human-computer interaction platform are built, and the physical construction and assembly process description are completed. Finally, through the calculation of repeatability test and the experimental analysis of assembly time, it can be concluded that the repeated positioning accuracy of automatic assembly is 0.02mm, and according to the positioning time of test parts, it can be concluded that each part is within 500ms, which meets the requirements of oil pump assembly in accuracy and efficiency.

     

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