Complex form of manufactured plastic parts can be achieved with the utility of industrial injection molding processes. The process have its weaknesses where shrinkage and warpage are found to be major defects. There are various optimization algorithms that can be employed to overcome the issue of shrinkage. One of it is Glowworm Swarm Optimization (GSO) which can be utilized to identify the optimal processing parameters setting to minimize shrinkages. A Low Density Polyethylene (LDPE) part was tested with the processing parameters of packing pressure, cooling time, melting temperature and mold temperature. The Autodesk Moldflow Insight (AMI) simulation recommended shrinkage value are 1.95% in x direction and 1.85% in the y direction. GSO approach demonstrated a reduction in shrinkage percentage in both x direction and y direction and the results were 1.84% and 1.70% respectively, thus indicating GSO’s ability in minimizing the shrinkage can be employed in injection molding industries.
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9 November 2018
GREEN DESIGN AND MANUFACTURE: ADVANCED AND EMERGING APPLICATIONS: Proceedings of the 4th International Conference on Green Design and Manufacture 2018
29–30 April 2018
Ho Chi Minh, Vietnam
Research Article|
November 09 2018
Optimization of shrinkage on thick plate plastic part by using glowworm swarm optimization (GSO)
M. H. M. Hazwan;
M. H. M. Hazwan
a)
1
School of Engineering Technology, Universiti Malaysia Perlis
, Kampus UniCITI Alam, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia
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Z. Shayfull;
Z. Shayfull
b)
2
School of Manufacturing Engineering, Universiti Malaysia Perlis
, Kampus Tetap Pauh Putra, 02600 Arau, Perlis, Malaysia
3
Green Design and Manufacture Research Group, Centerof Excellence Geopolymer and Green Technology (CEGeoGTech), Universiti Malaysia Perlis
, 01000 Kangar, Perlis, Malaysia
b)Corresponding author: [email protected]
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R. A. Muzammil;
R. A. Muzammil
c)
1
School of Engineering Technology, Universiti Malaysia Perlis
, Kampus UniCITI Alam, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia
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Mohamad Syafiq A. K.;
Mohamad Syafiq A. K.
d)
1
School of Engineering Technology, Universiti Malaysia Perlis
, Kampus UniCITI Alam, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia
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A. H. M. Haidiezul;
A. H. M. Haidiezul
e)
1
School of Engineering Technology, Universiti Malaysia Perlis
, Kampus UniCITI Alam, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia
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Suhaimi Shahrin;
Suhaimi Shahrin
f)
1
School of Engineering Technology, Universiti Malaysia Perlis
, Kampus UniCITI Alam, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia
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Muhammad Ikman Ishak
Muhammad Ikman Ishak
g)
1
School of Engineering Technology, Universiti Malaysia Perlis
, Kampus UniCITI Alam, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia
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M. H. M. Hazwan
1,a)
Z. Shayfull
2,3,b)
R. A. Muzammil
1,c)
Mohamad Syafiq A. K.
1,d)
A. H. M. Haidiezul
1,e)
Suhaimi Shahrin
1,f)
Muhammad Ikman Ishak
1,g)
1
School of Engineering Technology, Universiti Malaysia Perlis
, Kampus UniCITI Alam, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia
2
School of Manufacturing Engineering, Universiti Malaysia Perlis
, Kampus Tetap Pauh Putra, 02600 Arau, Perlis, Malaysia
3
Green Design and Manufacture Research Group, Centerof Excellence Geopolymer and Green Technology (CEGeoGTech), Universiti Malaysia Perlis
, 01000 Kangar, Perlis, Malaysia
AIP Conf. Proc. 2030, 020159 (2018)
Citation
M. H. M. Hazwan, Z. Shayfull, R. A. Muzammil, Mohamad Syafiq A. K., A. H. M. Haidiezul, Suhaimi Shahrin, Muhammad Ikman Ishak; Optimization of shrinkage on thick plate plastic part by using glowworm swarm optimization (GSO). AIP Conf. Proc. 9 November 2018; 2030 (1): 020159. https://doi.org/10.1063/1.5066800
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