Optimization of machining parameters on microdrilling of CFRP composites by Taguchi based desirability function analysis

Abstract

Microdrilling of CFRP composite materials is a complex process due to its properties and defects occur during the machining process. Optimization of process parameters is important to achieve the desired responses. This paper implies a new approach for optimizing the process parameters on drilling carbon fibre reinforced polymer (CFRP) composites. Optimization of process parameters is done by a method named as desirability function analysis (DFA), which is very useful tool to optimize multiple response problems. In microdrilling process, the feed rate and spindle speed and air pressure are selected as input parameter. Circularity and Feret’s diameter are taken as output parameters.The 0.5 mm solid carbide drill is chosen for microdrilling process. Analysis of variance (ANOVA) is adapted to investigate the performance characteristics of machining parameters. The confirmation tests are conducted to validate the test result.The analysis reveals out that hole quality is mostly influenced by air pressure.