Optimizing Delamination Free Drilling of GFRP Composites: An ANFIS Based Approach

Composite materials, particularly Glass Fiber Reinforced Plastics (GFRP), offer significant advantages in terms of specific strength, specific modulus, and fatigue strength. However, the machining of these composites, especially drilling, poses challenges such as delamination, which can compromise structural integrity. This research focuses on the delamination behavior during GFRP drilling and explores the methods to mitigate its effects. Experimental work involves manufacturing GFRP laminates with specific properties and drilling with varying parameters. Adaptive Neuro Fuzzy Inference System (ANFIS) was developed to analyze and control delamination. The model takes into account cutting parameters and tool geometry. The study involved an analysis of thrust force using ANOVA and a comparison between predicted and experimental values. The conclusions emphasize the significance of factors such as feed rate, spindle speed, and point angle in controlling delamination. The ANFIS model achieved a prediction accuracy of over 92% in determining optimal drilling parameters that result in delamination-free outcomes.