TAGUCHI METHOD AND ANOVA: AN APPROACH FOR PROCESS PARAMETERS OPTIMIZATION OF WET TURNING OPERATION WHILE TURNING EN 353 STEEL

In the Modern world the quality of the surface finish is one of the most important requirements for many turned work pieces due to which manufacturers are seeking to remain competitive in the market. Taguchi Parameter Design is a powerful tool and efficient method for optimizing quality and performance output of manufacturing processes. This paper focuses on the use of Taguchi Parameter Design for optimizing surface roughness generated by a turning operation of EN-353 steel (0.14% C) with Hardness 25±2 by a P-30 carbide cutting tool. This study utilizes a standard orthogonal array for determining the optimum turning parameters, with an applied noise factor. Controlled factors include spindle speed, feed rate, and depth of cut, rake angle, Pressurised Coolant. The results obtained by this method will be useful to other research works for similar type of study for further research on tool vibrations, cutting forces etc

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