ASSESSMENT OF MACHINE PARAMETERS FOR CFRP USING A VERTICAL MACHINING CENTER (VMC)

Abstract

Using a variety of optimization tools, this paper offers a thorough analysis of the optimization of different Method parameters. The moving vehicle performs exceptionally well in terms of accuracy and certain performance metrics when compared to other machinery.Every manufacturing sector aims to quickly and effectively produce high-quality goods.But it can be difficult to meet the quality standards set for moving machinery, especially when it comes to important operational factors like drive geometry, feed rate, coolant application depth, and arbour race.As a result, choosing these parameters carefully is essential to guaranteeing the calibre of the finished product. The ideal parameters don't always work at their best to produce the high-quality outcomes that are sought.Therefore, it is essential to improve these Method parameters in accordance with quality standards. Other techniques like principal component analysis (PCA), grey relational analysis, and the substitute construct are used for multi-objective quality parameters, while the Taguchi method is commonly used for single-objective optimization.  ANOVA analysis is also used to determine which parameters have the biggest effects on the given quality standards.