Grey-fuzzy logic to optimise process parameters in drilling of glass fibre reinforced stainless steel mesh polymer composite

Abstract

Purpose

The purpose of this paper is to optimise the process parameters, namely, point angle, spindle speed and feed rate in the drilling of glass-reinforced stainless steel mesh polymer (GRSSMP) composites using grey relational fuzzy logic.

Design/methodology/approach

Based on the full factorial design, the experiments were conducted. The output responses considered are thrust force, torque, delamination and diameter deviation. Based on responses, the optimised process parameter was selected using grey-fuzzy reasoning analysis (GFRA).

Findings

The percentage contribution of the drilling parameters is analysed using analysis of variance (ANOVA), and the result shows that feed rate is the most influential factor in the drilling of GRSSMP composites.

Research limitations/implications

The optimised drilling parameters have been used for drilling of polymer composites in the production industry.

Originality/value

Optimisation of process parameters during the drilling of GRSSMP composites using GFRA has not been performed previously.

Citation

Sakthivel, M., Vijayakumar, S. and Jenarthanan, M.P. (2017), "Grey-fuzzy logic to optimise process parameters in drilling of glass fibre reinforced stainless steel mesh polymer composite", Pigment & Resin Technology, Vol. 46 No. 4, pp. 276-285. https://doi.org/10.1108/PRT-10-2015-0099