A Fast Inspection of Tool Electrode and Drilling Depth in EDM Drilling by Detection Line Algorithm

Area of Science:

• Manufacturing Engineering
• Machine Vision Systems
• Metrology

Background:

• Accurate measurement of tool electrode length and drilling depth is critical in Electrical Discharge Machining (EDM) drilling.
• Existing measurement methods may lack precision or efficiency for real-time industrial applications.
• The need for a robust and automated measurement system for EDM processes.

Purpose of the Study:

• To develop a novel measurement method for EDM drilling using a machine vision system.
• To accurately and effectively detect tool electrode length and drilling depth.
• To provide a reliable reference for industrial EDM drilling measurement.

Main Methods:

• Development of a machine vision system incorporating image processing techniques.
• Implementation of a novel detection line algorithm (DLA) for precise boundary detection.
• Determination of tool electrode image features (centroid, eigenvector, principle axis) for algorithm guidance.

Main Results:

• The DLA successfully defined key boundaries: baseline, ND-line, and DD-line on the tool electrode.
• Accurate estimation of tool electrode length and drilling depth was achieved using the detected lines.
• Experimental results demonstrated good accuracy and efficiency across various conditions.

Conclusions:

• The developed machine vision system and DLA provide an accurate and efficient method for EDM drilling measurement.
• This research offers a valuable reference for industrial applications requiring precise EDM drilling metrology.
• The system's ability to handle different conditions highlights its potential for widespread adoption.