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Related Experiment Video

Updated: Jan 13, 2026

Detecting the Water-soluble Chloride Distribution of Cement Paste in a High-precision Way

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Machining Micro-Error Compensation Methods for External Turning Tool Wear of CNC Machines.

Hui Zhang¹, Tongwei Lu², Zhijie Xia³

¹School of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.

|October 29, 2025

Summary

Tool wear detection in CNC machining is crucial. A new method using edge images and mathematical models compensates for tool nose wear, significantly improving machining accuracy and efficiency.

Keywords:

error compensation external turning tool linear detection tool nose wear visual model

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Area of Science:

Mechanical Engineering
Manufacturing Technology
Computer Vision

Background:

Tool wear in CNC machining leads to workpiece scrap and machine damage.
Accurate tool wear detection is essential for maintaining machining precision.

Purpose of the Study:

To analyze the effect of tool nose wear on machining accuracy.
To develop an intelligent compensation strategy for external turning tools in CNC machines.

Main Methods:

A mathematical model was built to analyze tool nose wear effects.
A linear detection method using edge images identified cutting edges.
Morphological visual models and error compensation strategies were developed.

Main Results:

The proposed method effectively detected tool wear and determined the tool nose center.
Axial and radial error compensation strategies were implemented.
Average machining errors were reduced by up to 79.2% across four workpieces.

Conclusions:

The developed compensation strategies significantly enhance micro-machining accuracy and efficiency.
This approach offers a viable solution for intelligent tool wear management in CNC external turning.