Optimization of CFRP Drilling Process with Multi-Criteria Using TGRA

This study aims to prove the influence of wetness on the mechanical characteristic of carbon fiber–reinforced plastic (CFRP). There is no suitable method for using lubrication fluids in the composite industry. There is a significant impact on CFRP machining capabilities by the geometry of the cutting tool and cryogenic liquid cooling. This paper selects the optimal parametric combinations of the carbon fiber reinforced plastic drilling process by using Taguchi optimization technique base on grey relation analysis (GRA) technique (TGRA). The parameters of the drilling process such as the helical angle of the blade, the coolant gas, and the feed rate were found by observing multi-responses output such as surface roughness and diameter of the drill hole. The following parameters resulted in a larger value of grey relational grade (GRG) to reduce the surface roughness and the error deviation of the diameter dimension: the speed of the spindle motor was 6100 rpm, the feed rate was 1006 mm/min, the helical angle of the cutting blade was triple, the coolant gas was CO2-N2 mixture. Finally, an analysis of variance (ANOVA) is used to analyze the effect of each parameter process in the estimation of GRG. The results showed that the coolant gas had an outstanding effect on the surface roughness and error deviation of the diameter dimension.