Tool Wear Monitoring of Wiper Inserts in Multi-Insert Face Milling Using Three-Dimensional Surface Form Indicators

Author:

Wang Meng1,Ken Te1,Du Shichang1,Xi Lifeng1

Affiliation:

1. State Key Laboratory of Mechanical System and Vibration, Department of Industrial Engineering and Logistics Management, School of Mechanical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China e-mail:

Abstract

The wear of wiper inserts directly affects the finishing surface quality in multi-insert face milling. This research aims at monitoring the wear of wiper inserts, using 3D surface form as tool wear indicators. 3D surface height map of the face-milled surface is measured by a high definition metrology (HDM) instrument and converted into height-encoded and toolmark-straightened gray images. 3D surface form indicators, including entropy and contrast, are extracted from the converted images with a modified gray level co-occurrence matrix (GLCM) method. Meanwhile, the wear of wiper inserts is measured using a tool presetter and measuring machine without dismounting wiper inserts from the cutter. Experimental results indicate that entropy shows a strong correlation with average axial wear of the wiper edges and contrast reflects the evolution of axial offset between wiper inserts.

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

Reference31 articles.

1. Quality and Inspection of Machining Operations: Tool Condition Monitoring;ASME J. Manuf. Sci. Eng.,2010

2. Reliable Tool Wear Monitoring by Optimized Image and Illumination Control in Machine Vision;Measurement,2000

3. New Approach in Tool Wear Measuring Technique Using CCD Vision System;Int. J. Mach. Tools Manuf.,2005

4. Assessment and Visualisation of Machine Tool Wear Using Computer Vision;Int. J. Adv. Manuf. Technol.,2006

5. On-Line Tool Wear Monitoring Using Geometric Descriptors From Digital Images;Int. J. Mach. Tools Manuf.,2007

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