APPLICATION OF GREY RELATIONAL ANALYSIS FOR MULTI-CRITERIA OPTIMIZATION OF CUTTING PARAMETERS IN TURNING AISI 4340 STEEL
Keywords:
Machining parameters, Taguchi’s DOE, Grey Relational Analysis , ANOVAAbstract
This paper deals with the optimization of cutting parameters in turning AISI 4340 steel with the aim of minimizing the output responses flank wear and surface roughness using Grey Relational Analysis (GRA). Wear developed at the flank face of the cutting tool insert reduces the life of the cutting tool and surface roughness at the machined surface reduces the quality of the component, which makes this study essential. Cutting parameters viz. cutting speed, feed rate and depth of cut are varied through three levels, for which a L9 Orthogonal Array (OA) is chosen based on Taguchi’s Design of Experiments (DoE). A combined grey relational grade is calculated from the determined grey relational coefficient of the output responses and the optimum control parameters are obtained. Relationship between the input parameters are studied using interaction plots. Analysis of Variance (ANOVA) performed shows that depth of cut is the most significant parameter that contributes towards the output responses. Confirmation experiment conducted shows a reduction in output responses.
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