Title: An experimental investigation to optimise injection moulding process parameters for plastic parts by using Taguchi method and multi-objective genetic algorithm
Authors: Deepak Kumar; G.S. Dangayach; P.N. Rao
Addresses: Mechanical Engineering Department, Malaviya National Institute of Technology, Jaipur, Rajasthan, India ' Mechanical Engineering Department, Malaviya National Institute of Technology, Jaipur, Rajasthan, India ' Department of Technology, University of Northern Iowa, Cedar Falls, USA
Abstract: Plastic injection moulding is a useful method to produce plastic parts with high-quality surface finish. Improper process parameter settings can cause many production troubles namely defective products, reduce dimensional precision and scrap. Thus, determining the optimal processing parameters is regularly performed in injection moulding industry. In this paper, to determine the initial range of process parameters steady state experiments were performed. Taguchi method and multi objective genetic algorithm are used to optimise the process parameters of electric meter box and to reduce its shrinkage and warpage and to enhance its impact strength. For this purpose L27 orthogonal array was used. The modified linear graph was used with the line separation method to assign the parameters and interactions to various columns of the orthogonal array. The confirmation experiments show that the errors associated with prediction of shrinkage, warpage and impact strength are 5.11%, 5.91% and 1.171% respectively.
Keywords: injection moulding; process parameters; Taguchi method; multi-objective genetic algorithm; steady state experiments; modified linear graph; prediction; shrinkage; warpage and impact strength.
International Journal of Process Management and Benchmarking, 2019 Vol.9 No.1, pp.1 - 26
Available online: 12 Feb 2019 *Full-text access for editors Access for subscribers Purchase this article Comment on this article