Professor of School of Engineering, Design and Built Environment, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
2024-02-24
2024-01-04
2023-11-02
Abstract— Because tool wear, tool deflection and cutting heat are the significant factors influencing machining accuracy, monitoring, and measurement and evaluation techniques, they are exceedingly important in a machining process. To monitor tool wear, methods based on changes in the measurement of cutting force and on indirect estimation of acoustic emission signals have been used, but direct measurement is considered relatively easy for the quantitative evaluation of wear and the analysis of measurement data. This study describes a system that uses images obtained using a charge-coupled device (CCD) camera in a machining process to recognize the state of the tools on a machining center and enable the measurement of tool wear. The proposed system consists of two CCD cameras, an image processing device, and a machining center with an open computer numerical control. The monitoring technique of tool deflection was based on the analysis of the tool projection image obtained using the CCD camera, as shown in our previous study. In this experiment, tool wear in end-milling was measured based on the projection image and actual image obtained using two CCD cameras without removal of the tool from a machine tool spindle. As a result, the measurement of the cutting edge based on CCD image in a machining process enabled this system to monitor the tool wear. Moreover, a correlation was demonstrated between the measured tool wear and tool deflection. Index Terms— in-process, monitoring, tool wear, end-milling, CCD image, tool deflection Cite: Shinichi Yoshimitsu, Kazuto Uchinomaru, Kenji Shimana, Masakazu Harada, and Yuya Kobaru, "An Approach to Tool Wear Monitoring in Small Diameter End Milling Using CCD Image," International Journal of Mechanical Engineering and Robotics Research, Vol. 11, No. 9, pp. 705-709, September 2022. DOI: 10.18178/ijmerr.11.9.705-709 Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
