Machine Vision System for Inspecting Flank Wear on Cutting Tools
نویسندگان
چکیده
This paper describes the development of a machine vision system for automated tool wear inspection. The proposed approach measures the tool wear region based on the active contour algorithm and classifies the wear type by means of neural networks. Test results show that prevalent tool wears can be checked robustly in a real production environment and therefore the manufacturing automation can be improved.
منابع مشابه
Evaluation of Flank Wear of Iron-rich Binder Carbide Cutting Tool in Turning of Titanium Alloy
Despite the fact that Titanium material has been considered as difficult to cut material, its usage has been increasing day by day in all engineering sectors; wherever criticality is encountered. Many studies are going on in view of increasing tool life at high cutting speed to improve productivity. In this study, attempt has been made to see the effect of iron as a partial substitution along ...
متن کاملMachinability Investigation of Inconel 657 in High-speed Turning
A high strength nickel chromium alloy (50Cr-50Ni-Nb alloy), commonly referred to as IN-657, is specifically used for components in furnaces which are fired by low grade fuel oils containing high levels of vanadium, sodium and sulphur. The purpose of this study is to experimentally investigatethe effect of machining parameters on machinability in turning of Inconel 657. The considered parameters...
متن کاملMachinability Investigation of Inconel 657 in High-speed Turning
A high strength nickel chromium alloy (50Cr-50Ni-Nb alloy), commonly referred to as IN-657, is specifically used for components in furnaces which are fired by low grade fuel oils containing high levels of vanadium, sodium and sulphur. The purpose of this study is to experimentally investigatethe effect of machining parameters on machinability in turning of Inconel 657. The considered parameters...
متن کاملPrediction of flank wear by using back propagation neural network modeling when cutting hardened H-13 steel with chamfered and honed CBN tools
Productivity and quality in the finish turning of hardened steels can be improved by utilizing predicted performance of the cutting tools. This paper combines predictive machining approach with neural network modeling of tool flank wear in order to estimate performance of chamfered and honed Cubic Boron Nitride (CBN) tools for a variety of cutting conditions. Experimental work has been performe...
متن کاملOptical Flank Wear Monitoring of Cutting Tools
An optoelectronic method for in situ monitoring of the flank wear of cutting tools is presented. The method is based on real time vision technology in which the tool is illuminated by the beam of a laser and the wear zone is visualized using a Vidicon camera. The image is converted into digital pixel data and processed, to detect the wear land width. Detailed aspects of the image processing pro...
متن کامل