Intelligent Identification Feeding Gantry Device for Raw Material Packaging Box in Electric Core Module Laser Welding Assembly Line

YAN Hui

Packaging Engineering ›› 2022 ›› Issue (19) : 262-267.

PDF(1365 KB)
PDF(1365 KB)
Packaging Engineering ›› 2022 ›› Issue (19) : 262-267. DOI: 10.19554/j.cnki.1001-3563.2022.19.031

Intelligent Identification Feeding Gantry Device for Raw Material Packaging Box in Electric Core Module Laser Welding Assembly Line

  • YAN Hui
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Abstract

The work aims to design an intelligent identification feeding gantry device of raw material packaging box based on machine vision to solve the problem that electric core module laser welding assembly line has large unit material weight, long time duration, low efficiency and insufficient feeding accuracy, which cannot meet the continuous, stable and accurate feeding requirements of the assembly line for 48 seconds. The mechanical structure of gantry feeding device was designed by SolidWorks; The electrical control system was designed based on process flow; The positive and negative of the packaging box was determined through machine vision inspection to ensure the correct feeding direction. Based on the visual inspection position of the first packaging box, the grab calibration position of the manipulator of four packaging boxes on each layer was determined, and the deviation was compensated to determine the actual grab coordinates of the manipulator; PLC was communicated with the visual device through TCP to drive the suction cup to accurately suck the packaging box to the feeding port. Through practical test, the feeding speed of each packaging box of the gantry device was 24 ~ 48 seconds. The system meets the feeding efficiency requirements of the assembly line. It significantly improves the feeding accuracy, and saves the labor cost.

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YAN Hui. Intelligent Identification Feeding Gantry Device for Raw Material Packaging Box in Electric Core Module Laser Welding Assembly Line[J]. Packaging Engineering. 2022(19): 262-267 https://doi.org/10.19554/j.cnki.1001-3563.2022.19.031
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