PREDICTING SURFACE EXCELLENCE USING PARAMETRIC DESIGN CONCEPT: A PRACTICAL APPROACH WITH MATHEMATICAL MODEL
Keywords:
Regression Model, OA, DoE, Surface Roughness, CNC Machining, Parametric DesignAbstract
This paper discusses empirical model development to predict surface roughness of components machined in CNC turning centre via parametric design concept. Process variables selected in parametric design are spindle speed, feed rate, cutter nose radius and depth of cut. Non linear regression analysis with logarithmic data transformation is used for the model development. The near optimum combination of machining parameters for the best surface roughness is achieved using Design of Experiments. Confirmation trial runs are conducted to get foolproof results. The regression model is validated with a case study
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