Abstract: The research paper namely “Analysis of tool wear using machine vision system” is a study conducted to devise a fool proof method to detect the level of deterioration of tool and predict the rate of tool failure. Due to advancement of automatic manufacturing processes in the last thirty years, tool condition monitoring is gaining a significant development for improvement of product quality. The advances of digital image processing techniques used in tool condition monitoring are an important research interest due to the improvement of machine vision system, computing hardware and non-tactile application. In this paper, a review of development of digital image processing techniques in tool condition monitoring is discussed and finally a conclusion is drawn about required systematic research in this field.
Keywords: on-machine tool condition monitoring, image texture analyses. gray level co-occurrence matrix, flank wear, linear support vector machine based regression.