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Computer Vision Tool-Setting System of Numerical Control Machine Tool.

Bo Hou1, Congpeng Zhang2, Shoubo Yang3

  • 1Key laboratory of molecular imaging of Chinese Academy of Sciences, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.

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|September 19, 2020
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Summary
This summary is machine-generated.

This study introduces an automated vision system for intelligent Computerized Numerical Control (CNC) machines. The system enables precise tool setting and workpiece detection with high accuracy, meeting advanced manufacturing needs.

Keywords:
automatic tool-settingimage processingintelligent vision machine toolmachine visionvision measurement

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Area of Science:

  • Engineering
  • Computer Vision
  • Manufacturing Technology

Background:

  • Next-generation intelligent Computerized Numerical Control (CNC) machines require advanced vision systems for automation.
  • Existing CNC machines often lack integrated, high-precision automated tool setting and workpiece detection capabilities.

Purpose of the Study:

  • To develop and validate an automatic tool-setting and workpiece online detecting system for intelligent vision CNC machines.
  • To address key technological challenges in implementing advanced visual feedback for CNC operations.

Main Methods:

  • Established a computer vision automatic tool-setting system based on established principles.
  • Developed a rapid vision calibration method utilizing CNC machine position feedback.
  • Calibrated coordinate mapping for image-to-CNC machine, workpiece mark points, and tool tips.

Main Results:

  • Achieved image processing time of 128 ms.
  • Attained tool setting and measuring precision below 1 μm.
  • Demonstrated effective workpiece positioning and online processing detection.

Conclusions:

  • The developed vision system meets the application requirements for visual CNC machines.
  • The system exhibits significant potential for broad application in intelligent manufacturing.
  • High precision and speed achieved in automated tool setting and workpiece detection.