Int. J. of Additive and Subtractive Materials Manufacturing   »   2017 Vol.1, No.3/4

 

 

Title: Delamination study on newly formulated Ni-P coated glass fibre/nanowire - reinforced polymer composite using Grey relational analysis

 

Authors: G. Anand; N. Alagumurthi; R. Elansezhian; K. Palanikumar

 

Addresses:
Department of Mechanical Engineering, Pondicherry Engineering College, Pondicherry University, Puducherry, India
Department of Mechanical Engineering, Pondicherry Engineering College, Pondicherry University, Puducherry, India
Department of Mechanical Engineering, Pondicherry Engineering College, Pondicherry University, Puducherry, India
Department of Mechanical Engineering, Sai Ram Institute of Technology, Chennai, India

 

Abstract: Hybrid polymer composite materials are nowadays used as an economically alternative to conventional materials because of their unique engineering properties. Delamination is the major criteria to be considered during the drilling of the polymer composites. In the present work, Grey relational analysis is effectively used for optimising the machining parameters such as spindle speed, feed rate and diameter of the drill with respect to the delamination in the inlet and exit of the drilled hole of Ni-P - GF/Al2O3 nanowire reinforced hybrid composite. Optimal drilling parameters are obtained by the Grey relational grade for multi-performance characteristics, using Taguchi's L25, five-level orthogonal array. From the analysis, it is clear that the drill diameter is the most influential factor followed by the feed rate and the spindle speed. Experimental results indicate that the inlet and exit delamination can be reduced at the optimal drilling conditions of minimum feed rate (30 mm/min), drill diameter (4 mm) and maximum spindle speed (2,700 rpm).

 

Keywords: drilling; delamination; hybrid composite; optimisation; Grey relational analysis.

 

DOI: 10.1504/IJASMM.2017.10010936

 

Int. J. of Additive and Subtractive Materials Manufacturing, 2017 Vol.1, No.3/4, pp.372 - 388

 

Submission date: 21 Mar 2017
Date of acceptance: 08 Nov 2017
Available online: 07 Feb 2018

 

 

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