Prediction Model for CNC Turning on AISI316 with Single and Multilayered Cutting tool Using Box Behnken Design (RESEARCH NOTE)

Austenitic stainless steels (AISI316) are used for many commercial and industrial applications for their excellent corrosive resistance. AISI316 is generally difficult to machine material due to their high strength and high work hardening tendency. Tool wear (TW) and surface roughness (SR) are broadly considered the most challenging phases causing poor quality in machining. Optimization of cutting parameter is essential for the reaching of high quality. In this study, the response surface method (RSM) and experimental design are applied as an alternative to conventional methods for the optimization of a CNC turning process.  Box Benken design (BBD) is used to build a model for predicting and optimizing the CNC turning process. SR and TW of the multilayer coated cutting tool for CNC turning of austenitic stainless steel (AISI 316) under are taken as responses for analysis. Statistical check indicates that the model is sufficient for representing the experimental data.