Health & Environmental Research Online (HERO)


Print Feedback Export to File
4666237 
Journal Article 
Warpage Analysis on Thin Shell Part using Response Surface Methodology (RSM) 
Zulhasif, Z; Shayfull, Z; Nasir, SM; Fathullah, M; Hazwan, MHM 
2017 
Yes 
AIP Conference Proceedings
ISSN: 0094-243X
EISSN: 1551-7616 
AMER INST PHYSICS 
MELVILLE 
AIP Conference Proceedings 
1885 
WOS:000417379700119 
The optimisation of moulding parameters appropriate to reduce warpage defects produce using Autodesk Moldflow Insight (AMI) 2012 software The product is injected by using Acrylonitrile-Butadiene-Styrene (ABS) materials. This analysis has processing parameter that varies in melting temperature, mould temperature, packing pressure and packing time. Design of Experiments (DOE) has been integrated to obtain a polynomial model using Response Surface Methodology (RSM). The Glowworm Swarm Optimisation (GSO) method is used to predict a best combination parameters to minimise warpage defect in order to produce high quality parts. 
Saad, MNM; Ismail, RC; Ghazli, MF; Abdullah, MMA; Ramli, MM; AbdRahim, SZ; Isa, SSM; 
3rd Electronic and Green Materials International Conference (EGM) 
Aonang Krabi, THAILAND