OPTIMIZATION OF SURFACE GRINDING PARAMETER OF AUSTENITIC STAINLESS STEEL SHEET (AISI 304) BY TAGUCHI METHOD

Mechanical Engineering

The manufacturing process of surface grinding has been established in the mass production of slim, rotationally symmetrical component. Due to the complex set-up, which results from the large sensitivity of this grinding process to a multiplicity of geometrical, kinematical & dynamical influence parameters, surface grinding is rarely applied with limited-lot production. The important qualities of this grinding process are the same time opinion and machining of the work part on its periphery. Surface grinding is an essential process for final machining of components requires smooth surfaces and precise tolerances. As made a comparison with other machining processes grinding is high cost of great value operation that should be made use of under most good conditions. Although widely used in industry, grinding remains perhaps the least understood of all other machining processes. The proposed work takes the following input method parameters specifically Work speed, Depth of cut and Feed. The main objective of this work is to predict the grinding behavior and achieve optimal operating process parameters. A software package may be used which integrates these various models to simulate what happens during surface grinding processes. Predictions from this simulation will be further analyzed, calibration with actual data. It involves various variables such as depth of cut, work speed, feed rate, chemical composition of work piece, etc. The main objective in any machining process is to maximize the Metal Removal Rate (MRR) and to minimize the surface roughness. In order to optimize these values Taguchi method, regression analysis and ANOVA is used.

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