Warpage Investigation on Side Arms using Response Surface Methodology (RSM) and Glow-Worm Swarm Optimizations (GSO)

被引：0
|
作者：
Sow, C. K. [1 ]
Fathullah, M. [1 ,2 ]
Nasir, S. M. [2 ,3 ]
Shayfull, Z. [1 ,2 ]
Shazzuan, S. [1 ]
机构：
[1] Univ Malaysia Perlis, Sch Mfg Engn, Kampus Tetap Pauh Putra, Arau 02600, Perlis, Malaysia
[2] Univ Malaysia Perlis, Green Design & Manufacture Res Grp, Ctr Excellence Geopolymer & Green Technol CEGeoGT, Kangar 0100, Perlis, Malaysia
[3] Univ Malaysia Perlis, Ctr Diploma Studies, Kangar 0100, Perlis, Malaysia
来源：
3RD ELECTRONIC AND GREEN MATERIALS INTERNATIONAL CONFERENCE 2017 (EGM 2017) | 2017年 / 1885卷
关键词：
D O I：
10.1063/1.5002219
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
This paper discusses on an analysis run via injection moulding process in determination of the optimum processing parameters used for manufacturing side arms of catheters in minimizing the warpage issues. The optimization method used was RSM. Moreover, in this research tries to find the most significant factor affecting the warpage. From the previous literature review, 4 most significant parameters on warpage defect was selected. Those parameters were melt temperature, packing time, packing pressure, mould temperature and cooling time. At the beginning, side arm was drawn using software of CATIA V5. Then, software Mouldflow and Design Expert were employed to analyses on the popular warpage issues. After that, GSO artificial intelligence was apply using the mathematical model from Design Expert for more optimization on RSM result. Recommended parameter settings from the simulation work were then compared with the optimization work of RSM and GSO. The result show that the warpage on the side arm was improved by 3.27 %
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页数：10
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