Abstract
Heat treated EN24 steel is turned with uncoated tungsten carbide inserts in dry cutting environment following Taguchi L16 design of experiments (DOE); and influence of machining process parameters on the surface roughness characteristics (i.e. Ra and Rz) is investigated. The multiple responses are optimized simultaneously using Taguchi based grey relational analysis. Analysis of Variance (ANOVA) for grey relational grade reveals that cutting speed is the most significant parameter followed by feed; and the influence of depth of cut is insignificant. Quadratic response surface models are generated for both the responses; and their adequacy is verified.
Published Version
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