Multi-response optimization for machining GFRP composites using GRA and DFA

Abstract

Purpose

The purpose of this paper is to optimise the process parameters, namely, fibre orientation angle, helix angle, spindle speed, and feed rate in milling of glass fibre-reinforced plastic (GFRP) composites using grey relational analysis (GRA) and desirability function analysis (DFA).

Design/methodology/approach

In this work, experiments were carried out as per the Taguchi experimental design and an L27 orthogonal array was used to study the influence of various combinations of process parameters on surface roughness and delamination factor. As a dynamic approach, the multiple response optimisation was carried out using GRA and DFA for simultaneous evaluation. These two methods are best suited for multiple criteria evaluation and are also not much complicated.

Findings

The process parameters were found optimum at a fibre orientation angle of 15°, helix angle of 25°, spindle speed of 6,000 rpm, and a feed rate of 0.04 mm/rev. Analysis of variance was employed to classify the significant parameters affecting the responses. The results indicate that the fibre orientation angle is the most significant parameter preceded by helix angle, feed rate, and spindle speed for GFRP composites.

Originality/value

An attempt to optimise surface roughness and delamination factor together by combined approach of GRA and DFA has not been previously done.

Citation

Neeli, N., Jenarthanan, M.P. and Dileep Kumar, G. (2018), "Multi-response optimization for machining GFRP composites using GRA and DFA", Multidiscipline Modeling in Materials and Structures, Vol. 14 No. 3, pp. 482-496. https://doi.org/10.1108/MMMS-08-2017-0092