Browse > Article

Measurement of Tool Wear using Machine Vision in Flat End-mill  

Kim, Tae-Young (전북대학교 기계시스템공학부)
Kim, Eung-Nam (전북대학교 대학원 정밀기계공학과)
Kim, Min-Ho (전북대학교 고온플라즈마 응용연구센터 구축사업단)
Publication Information
Journal of the Korean Society of Manufacturing Technology Engineers / v.20, no.1, 2011 , pp. 53-59 More about this Journal
Abstract
End milling is available for machining the various shape of products and has been widely applied in many manufacturing industries. The quality of products depends on a machine tool performance and machining conditions. Recognition characteristics of the cutting condition is becoming a critical requirement for improving the utilization and flexibility of present-day CNC machine tools. The measurement of tool wear would be performed by coordinate-measuring machine(CMM). However, the usage of CMM requires much time and cost. In order to overcome the difficulties, on-line measurement(OLM) system was applied for a tool wear measurement. This study shows a reliable technique for the reduction of machining error components by developing a system using a CCD camera and machine vision to be able to precisely measure the size of tool wear in flat end milling for CNC machining. The CCD camera and machine vision attached to a CNC machine can determine tool wear quickly and easily.
Keywords
Cutting force; Flat end milling; CCD camera; Machine vision;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Kim, M. H., 2009, A Study on Vision Measurement System and Dynamic Signal Analysis for Improving Hole Accuracy in Drilling, Ph.D. Thesis, Chonbuk National University, Republic of Korea.
2 Tarn, J. H., and Tomizuka, M., 1989, "On-Line Monitoring of Tool and Cutting Conditions in Milling," ASME Journal of Engineering for Industry, Vol. 111, pp. 206-212.   DOI
3 Altintas, Y., and Yellowley, I., 1989, "In-process Detection of Tool Failure in Milling using Cutting Force Models," ASME Journal of Engineering for Industry, Vol. 11, pp. 149-157.
4 Kim, S. H., and Kim, D. H., 2001, "On-the-Machine Measurement System," J. of the KSPE, Vol. 18, No. 16, pp. 9-18.
5 Choi, J. P., Min, B. K., and Lee, S. J., 2003, "Machining Accuracy Improvement by On Machine Part Measurement and Error Compensation," J. of the KSPE, Vol. 20, No. 12, pp. 34-41.
6 Ko, B. H., 1998, Cutting Force Prediction in End Milling of SUS 304 Considering Tool Wear, Master's Thesis, Chonbuk National University, Republic of Korea.
7 Atlas Steels Australia, n.d., viewed August 2010, .