Faculty Publications

An Experimental Investigation To Optimise Injection Moulding Process Parameters For Plastic Parts By Using Taguchi Method And Multi-Objective Genetic Algorithm

Document Type

Article

Keywords

Impact strength, Injection moulding, Modified linear graph, Multi-objective genetic algorithm, Prediction, Process parameters, Shrinkage, Steady state experiments, Taguchi method, Warpage

Journal/Book/Conference Title

International Journal of Process Management and Benchmarking

Volume

9

Issue

1

First Page

1

Last Page

26

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.

Department

Department of Technology

Original Publication Date

1-1-2019

DOI of published version

10.1504/IJPMB.2019.097818

Repository

UNI ScholarWorks, Rod Library, University of Northern Iowa

Language

en

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