Abstract
Optimal parameters setting of injection moulding (IM) machine critically effects productivity, quality, and cost production of end products in manufacturing industries. Previously, trial and error method were the most common method for the production engineers to meet the optimal process injection moulding parameter setting. Inappropriate injection moulding machine parameter settings can lead to poor production and quality of a product. Therefore, this study was purposefully carried out to overcome those uncertainty. This paper presents a statistical technique on the optimization of injection moulding process parameters through central composite design (CCD). In this study, an understanding of the injection moulding process and consequently its optimization is carried out by CCD based on three parameters (melt temperature, packing pressure, and cooling time) which influence the shrinkage and tensile strength of rice husk (RH) reinforced low density polyethylene (LDPE) composites. Statistical results and analysis are used to provide better interpretation of the experiment. The models are form from analysis of variance (ANOVA) method and the model passed the tests for normality and independence assumptions.
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Authors and Affiliations
Haliza Jaya
1
2
ORCID:
Nik Noriman Zulkepli
1
2
ORCID:
Mohd Firdaus Omar
1
2
ORCID:
Shayfull Zamree Abd Rahim
1
3
ORCID:
Marcin Nabiałek
4
ORCID:
Kinga Jeż
4
ORCID:
Mohd Mustafa Al Bakri Abdullah
1
2
ORCID:
- Universiti Malaysia Perlis, Centre of Excellence Geopolymer and Green Technology (CeGeoGTech), 02600 Arau, Perlis, Malaysia
- Universiti Malaysia Perlis (UniMAP), Faculty of Chemical Engineering Technology, Kompleks Pengajian Jejawi 2, 02600 Arau, Perlis, Malaysia
- Universiti Malaysia Perlis (UniMAP), Faculty of Mechanical Engineering Technology, Kampus Alam Pauh Putra, 02600 Arau, Perlis, Malaysia
- Częstochowa University of Technology, Department of Physics, 42-200 Częstochowa, Poland