Warpage optimization on front panel housing by using glowworm swarm optimization (GSO) approach

Hazwan, M. H.M. and Shayfull, Z. and Mohd Rashidi, Maarof and Nasir, S. M. and Noriman, N. Z. (2018) Warpage optimization on front panel housing by using glowworm swarm optimization (GSO) approach. In: AIP Conference Proceedings; 4th International Conference on Green Design and Manufacture 2018, IConGDM 2018, 29 - 30 April 2018 , Eden Star Saigon Hotel, Ho Chi Minh, Vietnam. pp. 1-2., 2030 (020151). ISSN 0094-243X ISBN 9780735417526

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Injection molding process is a quite popular process in current industries to produce and replicate a various shape of plastic parts. However, the process involved a lot of processing parameters which is importance to control in order to minimize defect such as warpage. Nowadays, there are a lot of optimization approaches that can be employed to obtain the suitable processing parameters setting to overcome this kind of defects. In this study, an artificial intelligent optimization method which is Glowworm Swarm Optimization (GSO) approach has been carried out to minimize warpage condition. The front panel housing was tested with the selected processing parameters of melting temperature, cooling time, packing pressure and packing time. Based on the Autodesk Moldflow Insight (AMI) simulation results warpage value is 0.26mm and GSO approach demonstrated a warpage reduction and the results were 0.1625mm. Thus, by utilising GSO in minimising warpage on the molded part can be applied in injection molding industries.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Injection molding process; Injection molding industries; Parameters setting; Autodesk Moldflow Insight (AMI)
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TH Building construction
T Technology > TS Manufactures
Faculty/Division: Faculty of Mechanical Engineering
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 15 Aug 2023 01:27
Last Modified: 15 Aug 2023 01:27
URI: http://umpir.ump.edu.my/id/eprint/29090
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