Statistical modelling and machinability assessment of commercially pure titanium (CP-Ti) grade II: An experimental investigation

Abstract

Abstract The present paper recommends two different prediction tools namely Kienzle force model and RSM-based quadratic model to predict some of the major responses during machining of commercially pure titanium (CP-Ti) grade II. The experiments were accomplished by varying the cutting variables viz. spindle speed (v), feed rate (f) and depth of cut (d) whereas the domain for the same was adopted from response surface methodology (RSM). Tool wear (VBc), cutting force (F) and surface roughness (Ra) were scrutinized as the major quality measures. Further, the effects of aforesaid machining parameters were studied by performing the ANOVA (analysis of variance) test. The acceptability of both the models were confirmed by comparing the outcomes of the prediction with their corresponding experimental results. The results indicated that, both the approximation tools are acceptable as the maximum prediction error lies within 10%. However, the prediction accuracy of RSM-based quadratic model was observed superior than that of Kienzle force model. Therefore it can be suggested that, the Kienzle force model and RSM-based quadratic model can be successfully employed for the estimation of different cut qualities of CP-Ti grade II. However, this might be limited to the studied range of machining variables.