Operational Modeling of Cutting Parameters Influence on Power Consumption and Surface Roughness in CNC Turning of AISI 304
Mots-clés :
CNC turning, Taguchi method, Response Surface Methodology (RSM), power consumption, surface roughness, Analysis of variance (ANOVA)Résumé
This paper describes the power consumption and surface roughness predictive model development in computer numerical control (CNC) turning of AISI 304 austenitic stainless steel using Taguchi method and response surface method (RSM). The experiments are designed and conducted based on Taguchi’s design of experiments (DoE) with cutting speed, feed rate, depth of cut and nose radius as the process parameters. Signal-to-noise (S/N) ratios of responses are calculated to identify the influences of process parameters on responses using analysis of variance (ANOVA). RS models such as linear, linear with interaction, linear with square and full second order are developed for power consumption and surface roughness. The adequacies of developed models are compared and the well suited full second-order RS model for power consumption and surface roughness is selected and validated.Téléchargements
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