Abstract
Digital image processing involves use of digital computer for processing the digital image in order to improve the visual appearance of images to a human view and preparing images for measurements of its features and structures present. With growing demand of industrial automation in manufacturing, machine vision and image processing techniques play an important role in quality inspection and process monitoring. In the present study the applicability of Acoustic Emission (AE) technique in the analysis of FSW joints by combining with image parameters has been done. It has been observed that both the Image parameters and AE- parameters follow a similar trend with respect to a particular set of input process parameters for producing Friction Stir Welding (FSW) joints.
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