- Tytuł:
- Optimization of Injection Moulding Process via Design of Experiment (DOE) Method based on Rice Husk (RH) Reinforced Low Density Polyethylene (LDPE) Composite Properties
- Autorzy:
-
Jaya, Haliza
Zulkepli, Nik Noriman
Omar, Mohd Firdaus
Abd Rahim, Shayfull Zamree
Nabiałek, Marcin
Jeż, Kinga
Al Bakri Abdullah, Mohd Mustafa - Powiązania:
- https://bibliotekanauki.pl/articles/2106601.pdf
- Data publikacji:
- 2022
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
injection moulding
design of experiments
DOE
central composite design
response surface methodology
RSM
shrinkage
tensile strength - Opis:
- 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.
- Źródło:
-
Archives of Metallurgy and Materials; 2022, 67, 2; 719--727
1733-3490 - Pojawia się w:
- Archives of Metallurgy and Materials
- Dostawca treści:
- Biblioteka Nauki
Artykuł