EVALUATION OF MACHINING PARAMETERS FOR CFRP UTILIZING A VERTICAL MACHINING CENTER (VMC)

The optimisation of different Method parameters using a variety of optimisation tools is thoroughly examined in this paper. When compared to other pieces of machinery, the moving vehicle performs exceptionally well in terms of accuracy and particular performance results. Every manufacturing sector aims to quickly and efficiently produce high-quality goods. It is difficult to meet the established quality standards for moving machinery when it comes to critical operational parameters like drive geometry, feed rate, depth of coolant application, and arbour race. As a result, choosing these parameters carefully is essential to guaranteeing the quality of the final product. To get the intended high-quality outcomes, the ideal parameters do not always function at their best. Enhancing these Method parameters in accordance with quality requirements is therefore essential. Although the Taguchi method is commonly employed for single-goal optimisation, alternative strategies like principal component analysis (PCA), grey relational analysis, and the substitute construct are used for multi-goal quality parameters. ANOVA analysis is also used to determine which parameters have the biggest effects on the designated quality standards.