Abstract
Surface integrity features such as roughness, induced by machining Duplex Stainless Steel (DSS) components, is an important factor affecting their functional performance. This work used a multi-regression modelling method to state the relationship between turning parameters & roughness average for standard DSS components. Four process parameters, viz. cutting speed, rate of feed, cutting depth & radius of tool nose curvature were varied between three levels each and their effect on roughness average was noted. Experiments were performed using Definitive Screening Design (DSD). The surface roughness parameter was measured using Taylor Hobson branded Talysurf-5 profilometer. A Step Wise regression approach with forward selection of terms and alpha value of 0.25 resulted in a quadratic model with R square value of 99.61%. Validation experiment with new specimens yielded prediction accuracy of 88%. For minimization of roughness, cutting speed should be set at 100 m/min, feed rate should be set at 0.1 mm/rev, cutting depth should be set at 1.5 mm and nose radius should be set at 0.8 mm. These settings yielded minimum value of roughness average as 0.0845 microns.
Published Version
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