A Machine-based Robotic System for Precision Grinding Wheel Saw Replacement: Mathematical and Non-linear Analysis Perspective

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Amit S. Chaudhary, Bhuvaneshwar D. Patil, Kishor B. Waghulde, Rupesh V. Bhortake, Santosh Dabhole, Rakesh Roshan, Narayan P. Sapkal

Abstract

Steel is general material which is used in many applications and the demand of steel is huge in the world market. As the demand is huge then the industry need to produce the steel component in mass quantity. The cutting operation is done with the grinding wheel saw known as saving operation which need to be replaced frequently as it warn out quickly. The replacement need time which creates impacts on the productivity of needle, to avoid such delay in replacement an automatic system will be needed. This paper presents grinding wheel saw replacement through an intelligent robotic system, powered by machine technology, designed to swiftly replace grinding wheel saws. This system consists of mechanical arm with 6 axis and DOF manipulator.  For the analysis purpose of newly system design FEA is applied. For the detection purpose a digital cam is placed for the positioning of machine vision. To test the system thousands of actual results are measured and collected for the reliable working of newly proposed system. 

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