Optimisation of Warpage on Plastic Part by Using Glowworm Swarm Optimisation (GSO)

被引：0
|
作者：
Shayfull, Z. [1 ,2 ]
Hazwan, M. H. M. [3 ]
Ahmad, M. [3 ]
Syafiq, Mohamad A. K. [3 ]
Roslan, A. M. [3 ]
机构：
[1] Univ Malaysia Perlis, Sch Mfg Engn, Kampus Tetap Pauh Putra, Arau 02600, Perlis, Malaysia
[2] Univ Malaysia Perlis, Ctr Excellence Geopolymer & Green Technol CEGeoGT, Green Design & Manufacture Res Grp, Kangar 01000, Perlis, Malaysia
[3] Univ Malaysia Perlis, Sch Engn Technol, Kampus UniCITI Alam, Padang Besar 02100, Perlis, Malaysia
来源：
5TH INTERNATIONAL CONFERENCE ON GREEN DESIGN AND MANUFACTURE 2019 (ICONGDM 2019) | 2019年 / 2129卷
关键词：
MOLDING PROCESS PARAMETERS; SHRINKAGE;
D O I：
10.1063/1.5118065
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Injection moulding 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 minimise defect such as warpage. Nowadays, there are a lot of optimisation approaches that can be employed to obtain the suitable processing parameters setting to overcome this kind of defects. In this study, an artificial intelligent optimisation method which is Glowworm Swarm Optimisation (GSO) approach has been carried out to minimise 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 Mouldflow Insight (AMI) simulation results warpage value is 0.26 mm and GSO approach demonstrated a warpage reduction and the results were 0.2015 mm. Thus, by utilising GSO in minimising warpage on the moulded part can be applied in injection moulding sector.
引用
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页数：8
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