IDENTIFICATIONS OF MACHINED SURFACES USING DIGITAL IMAGE PROCESSING

The characteristic features produced by machining processes, specifically: shaping, end milling, and horizontal milling, are important parameters for determining salient facts about the processes involved. The need for attaining an optimum balance between the contrasting demands for increased productivity and better product quality, in modern manufacturing, makes the study of such machining information quintessential. The authors of this paper used Digital Image processing method to develop an automated system that was capable of classifying machined plates into one of these three important categories. The outputs of the software were tested rigorously, using known calibrated machined plates of all three types. The software demonstrated an accuracy of 95% and a repeatability of 100%. The authors are of the opinion that their technique is ready for their implementation in the field of advanced materials and manufacturing research. With subsequent modification it the automated classification system could also be used in the industry. [PUBLICATION ABSTRACT]