Enhancing Machining Efficiency of Carbon Fibre Reinforced Polymer through Optimal Drilling Parameter Selection using TOPSIS Method

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V. Raghavendra Rao
Prashant Kumar Shrivastava

Abstract

The fabrication of Carbon Fibre Reinforced Polymer (CFRP) and the optimization of drilling operations on it using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is discussed in this paper. The study focuses on input process parameters - spindle speed, feed rate, drill point angle and drill diameter and their effects on four output responses - surface roughness (Ra), thrust force, circularity error and delamination. The authors perform experiments using a Taguchi L9 orthogonal array design and analyse the data using the TOPSIS method to obtain the optimal combination of input parameters for minimum values of the output responses. The results show that the cutting tool material and coolant application are the most significant factors affecting the output responses, followed by spindle speed, feed rate and drill point angle. The study provides insights into the optimization of drilling operations on CFRP and demonstrates the effectiveness of the TOPSIS method in determining optimal process parameters for manufacturing processes.

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