Title: Effect of process parameters on the surface roughness generated on graphite laced GFRP composite by AWJ machining

Authors: Deepak Doreswamy; Basit Eqbal; Siddaram Sangolagi; Anjaiah Devineni

Addresses: Department of Mechanical and Manufacturing Engineering, Manipal Institute of Technology, Manipal University, Manipal-576104, India ' Department of Mechanical and Manufacturing Engineering, Manipal Institute of Technology, Manipal University, Manipal-576104, India ' Department of Mechanical and Manufacturing Engineering, Manipal Institute of Technology, Manipal University, Manipal-576104, India ' Department of Mechanical and Manufacturing Engineering, Manipal Institute of Technology, Manipal University, Manipal-576104, India

Abstract: In this research paper, the effect of abrasive water jet (AWJ) machining process parameters such as jet operating pressure, feed rate, abrasive concentration and standoff distance (SOD) on the surface roughness produced during machining of graphite mixed glass fibre reinforced polymer (GFRP) composite is investigated. Experiments were conducted using Taguchi's L27 orthogonal array design and the process parameters were optimised to obtain high surface finish. Experimental data were analysed using analysis of variance (ANOVA) which shows that the surface roughness decreased by 15.90% and increased by 9.22% for the increase in operating pressure and SOD respectively. Also, regression model is developed to predict the surface roughness and found that the predicted values are in close agreement with the experimental values (error 6.57%).

Keywords: AWJ machining; abrasive waterjet machining; orthogonal arrays; surface roughness; SNR; signal to noise ratio; process parameters; graphite; GFRP composites; glass fibre reinforced polymer; jet operating pressure; feed rate; abrasive concentration; standoff distance; Taguchi methods; ANOVA.

DOI: 10.1504/IJAT.2016.10002374

International Journal of Abrasive Technology, 2016 Vol.7 No.4, pp.294 - 306

Received: 15 Mar 2016
Accepted: 02 Jun 2016

Published online: 05 Jan 2017 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article