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Optimisation of warpage on plastic injection moulding part using response surface methodology (RSM) and genetic algorithm method (GA)

Journal
AIP Conference Proceedings
ISSN
0094243X
Date Issued
2017-09-26
Author(s)
Miza A.T.N.A.
Shayfull Zamree Abd. Rahim
Universiti Malaysia Perlis
Mohd. Nasir Mat Saad
Universiti Malaysia Perlis
Mohd Fathullah Ghazli@Ghazali
Universiti Malaysia Perlis
Mohd. Hazwan Mohd. Hanid
Universiti Malaysia Perlis
DOI
10.1063/1.5002201
Handle (URI)
https://hdl.handle.net/20.500.14170/12959
Abstract
In this study, Computer Aided Engineering was used for injection moulding simulation. The method of Design of experiment (DOE) was utilize according to the Latin Square orthogonal array. The relationship between the injection moulding parameters and warpage were identify based on the experimental data that used. Response Surface Methodology (RSM) was used as to validate the model accuracy. Then, the RSM and GA method were combine as to examine the optimum injection moulding process parameter. Therefore the optimisation of injection moulding is largely improve and the result shown an increasing accuracy and also reliability. The propose method by combining RSM and GA method also contribute in minimising the warpage from occur.
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