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  5. Warpage improvement on wheel caster by optimizing the process parameters using genetic algorithm (GA)
 
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Warpage improvement on wheel caster by optimizing the process parameters using genetic algorithm (GA)

Journal
AIP Conference Proceedings
ISSN
0094243X
Date Issued
2017-09-26
Author(s)
Safuan N.S.
Fathullah M.
Shayfull Z.
Nasir S.M.
Hazwan M.H.M.
DOI
10.1063/1.5002207
Handle (URI)
https://hdl.handle.net/20.500.14170/12796
Abstract
In injection moulding process, the defects will always encountered and affected the final product shape and functionality. This study is concerning on minimizing warpage and optimizing the process parameter of injection moulding part. Apart from eliminating product wastes, this project also giving out best recommended parameters setting. This research studied on five parameters. The optimization showed that warpage have been improved 42.64% from 0.6524 mm to 0.30879 mm in Autodesk Moldflow Insight (AMI) simulation result and Genetic Algorithm (GA) respectively.
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Mar 5, 2026
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