On-Line Non-Contact System for Grinding Wheel Wear Measurement

Abstract

An on-line non-contact method for measuring the wear of a form grinding wheel is presented. A CCD (charge coupled device) camera with a selected optical lens and a frame grabber was used to capture the image of a grinding wheel. The analogue signals of the image were transformed into corresponding digital grey level values. Using the binarisation technique, the images of background and the grinding wheel were segmented. Thus the grinding wheel edge was identified. The 'mapping function method' is used to transform an image pixel coordinate to a space coordinate. An auto-focus technology is also developed. The statistics of pixels are used as the focusing index. The signal was sent through an 8255 control card to drive a d.c. motor, and then to control the lens focusing movement to acquire the focal plane. The images before and after the grinding process were captured. The position deviation of the grinding wheel edge was analysed. Then, the grinding wheel wear was evaluated. The wear detection accuracy is about 1m.

Analysis of the accuracy of the assessment of the consumption of the active surface of abrasive tools using RepliSet replicas in the system and spatial scanning in industrial environments

“…Ocena topografii narzędzi ściernych jest ważnym zadaniem dotyczącym oceny zużycia narzędzia, a także w kontekście monitorowania procesu szlifowania [1,2,3]. Konwencjonalne metody pomiarowe z wykorzystaniem mikroskopów lub profilometrów, mają wadę, wynikającą z potrzeby demontażu narzędzia z wrzeciona obrabiarki, co często skutkuje potrzebą ponownego kształtowania powierzchni ściernicy, po ponownym montażu.…”

“…1 Rys. 3. Parametry chropowatości powierzchni ściernicy zbadanej z wykorzystaniem mikroskopii konfokalnej oraz tej samej powierzchni po akwizycji danych wykonanej repliką w systemie RepliSet Największą różnicę zaobserwowano w wartości parametrów Sp, czyli maksymalnej wysokości wzniesień, różnica wynosiła 30%.…”

Application of multi-sensor signals for monitoring tool/workpiece condition in broaching

“…There have been many investigations regarding monitoring systems for tool wear especially in conventional machining processes such as turning (Bonifacio and Diniz 1994, Chiou and Liang 2000, Scheffer and Heyns 2001, drilling (Liu and Wu 1990, El-Wardany et al 1996, Abu-Mahfouz 2003, milling (Elbestawi et al 1991, Lin and Lin. 1996, Sarhan et al 2001) and grinding (Inasaki 1998, Fan et al 2002, Couey et al 2005.…”

Condition monitoring of grinding process through machine vision system

“…K.C.Fan et al [8] measures the wear of grinding wheel using binarisation technique for image processing and the image is analyzed using a derived edge detection algorithm to determine the spatial coordinates of the grinding wheel edge curvature. Ste´phane Lachance et al [9] applies a region growing method in image processing to measure the wear flat area of the grinding wheel.…”