M-Tech Project

Assesment of tool geometry and tool wear in orthogonal cutting by image processing using genetic algorithm and artificial neural network

ABSTRACT

     The growing demand of industrial automation in the manufacturing industry has revealed the importance of machine vision in quality inspection and process monitoring. Application of machine vision systems in industry for tool wear inspection and monitoring has been of great interest in the past several years. Several techniques have been developed for monitoring of wear state, which include indirect method such as empirical formulae, and direct method such as Toolmaker microscope or graduated magnifying lens. These orthodox methods are cumbersome, time consuming and could be inadequate. They are also limited in application because they can only be implemented offline. The applications of image analysis (vision systems) have proved to be very efficient for wear area detection.