Response surface methodology (RSM) analysis approach to model experimental data of machining of plastic composites

摘要

Many studies have been reported to analyze the interaction effects of process parameters on machinability aspects of PEEK composites. Thus, it is necessary to develop an accurate model to analyze the interaction effects of process parameters on machinability aspects during turning of reinforced PEEK composites. The present work is aimed at determining the effects of cutting conditions (cutting speed, feed rate and depth of cut) on three aspects of machinability such as cutting power, specific cutting pressure and machining force during turning of reinforced polyetheretherketone with 30% of carbon fibres (PEEK CF 30) using TiN coated cutting tools. An ideal experimental design was carried out based on Taguchi methods with response surface methodology (RSM). This RSM was used to evaluate the effects of process variables and their interaction towards the attainment of their optimum conditions. Based on statistical analysis, the quadratic model proved to be highly significant with very low probability values (<0.0001).This resulted as obtained from the predicted model, which fitted well with the experimental results (i.e. 99%).