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Mathematical Modelling of Plastic Injection Molding Process Using Central Composite Design (CCD) Sampling and PRSM / Kausalyah V. ...[et al.]

Injection Molding is the most widely used plastic manufacturing process for producing outputs from a mold, particularly in polymer processing. This process is highly recommended to deliver high-quality product with low-cost production in a brief time. A Design of Experiment (DoE) approach is adapted...

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Main Authors: V., Kausalyah, B.M.F., Norfiza Athyrah, S., Shasthri
Format: Article
Language:English
Published: Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM) 2018
Subjects:
TJ Mechanical engineering and machinery
Microelectromechanical systems
Online Access:http://ir.uitm.edu.my/id/eprint/40970/1/40970.pdf
http://ir.uitm.edu.my/id/eprint/40970/
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spelling my.uitm.ir.409702021-01-25T07:27:02Z http://ir.uitm.edu.my/id/eprint/40970/ Mathematical Modelling of Plastic Injection Molding Process Using Central Composite Design (CCD) Sampling and PRSM / Kausalyah V. ...[et al.] V., Kausalyah B.M.F., Norfiza Athyrah S., Shasthri TJ Mechanical engineering and machinery Microelectromechanical systems Injection Molding is the most widely used plastic manufacturing process for producing outputs from a mold, particularly in polymer processing. This process is highly recommended to deliver high-quality product with low-cost production in a brief time. A Design of Experiment (DoE) approach is adapted to generate the experimental samples and the sampling method proposed to be studied in this research is the Central Composite Design (CCD). The study presents the application on Central Composite Design (CCD) and Response Surface Methodology (RSM) for the generation of the mathematical model. Four experimental parameters were chosen as the input variables which are pigmentation percentage, barrel temperature, barrel pressure and cooling time, while shrinkage is the output response parameter studied. The quadratic polynomial model is selected to significantly predict the interactions of the parameters and the response factor. The evaluation of the model is done through the analysis of variance (ANOVA) and 3D response surface plots are generated to illustrate the cross factors’ relationships. From the ANOVA results obtained, the reduced model offers a better fit with a PRESS RMSE of 6.89 and PRESS R2 of 71.2% in comparison to the full model. It can be concluded that CCD sampling is able to soundly predict the response of the parameters studied in the injection moulding process based on the statistical diagnostics obtained. It is also noted in both models that the pigmentation percentage (x1) is most influential factor in minimizing shrinkage in the plastic injection moulding process. Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM) 2018 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/40970/1/40970.pdf V., Kausalyah and B.M.F., Norfiza Athyrah and S., Shasthri (2018) Mathematical Modelling of Plastic Injection Molding Process Using Central Composite Design (CCD) Sampling and PRSM / Kausalyah V. ...[et al.]. Journal of Mechanical Engineering (JMechE), SI 5 (6). pp. 226-238. ISSN 18235514
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic TJ Mechanical engineering and machinery
Microelectromechanical systems
spellingShingle TJ Mechanical engineering and machinery
Microelectromechanical systems
V., Kausalyah
B.M.F., Norfiza Athyrah
S., Shasthri
Mathematical Modelling of Plastic Injection Molding Process Using Central Composite Design (CCD) Sampling and PRSM / Kausalyah V. ...[et al.]
description Injection Molding is the most widely used plastic manufacturing process for producing outputs from a mold, particularly in polymer processing. This process is highly recommended to deliver high-quality product with low-cost production in a brief time. A Design of Experiment (DoE) approach is adapted to generate the experimental samples and the sampling method proposed to be studied in this research is the Central Composite Design (CCD). The study presents the application on Central Composite Design (CCD) and Response Surface Methodology (RSM) for the generation of the mathematical model. Four experimental parameters were chosen as the input variables which are pigmentation percentage, barrel temperature, barrel pressure and cooling time, while shrinkage is the output response parameter studied. The quadratic polynomial model is selected to significantly predict the interactions of the parameters and the response factor. The evaluation of the model is done through the analysis of variance (ANOVA) and 3D response surface plots are generated to illustrate the cross factors’ relationships. From the ANOVA results obtained, the reduced model offers a better fit with a PRESS RMSE of 6.89 and PRESS R2 of 71.2% in comparison to the full model. It can be concluded that CCD sampling is able to soundly predict the response of the parameters studied in the injection moulding process based on the statistical diagnostics obtained. It is also noted in both models that the pigmentation percentage (x1) is most influential factor in minimizing shrinkage in the plastic injection moulding process.
format Article
author V., Kausalyah
B.M.F., Norfiza Athyrah
S., Shasthri
author_facet V., Kausalyah
B.M.F., Norfiza Athyrah
S., Shasthri
author_sort V., Kausalyah
title Mathematical Modelling of Plastic Injection Molding Process Using Central Composite Design (CCD) Sampling and PRSM / Kausalyah V. ...[et al.]
title_short Mathematical Modelling of Plastic Injection Molding Process Using Central Composite Design (CCD) Sampling and PRSM / Kausalyah V. ...[et al.]
title_full Mathematical Modelling of Plastic Injection Molding Process Using Central Composite Design (CCD) Sampling and PRSM / Kausalyah V. ...[et al.]
title_fullStr Mathematical Modelling of Plastic Injection Molding Process Using Central Composite Design (CCD) Sampling and PRSM / Kausalyah V. ...[et al.]
title_full_unstemmed Mathematical Modelling of Plastic Injection Molding Process Using Central Composite Design (CCD) Sampling and PRSM / Kausalyah V. ...[et al.]
title_sort mathematical modelling of plastic injection molding process using central composite design (ccd) sampling and prsm / kausalyah v. ...[et al.]
publisher Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM)
publishDate 2018
url http://ir.uitm.edu.my/id/eprint/40970/1/40970.pdf
http://ir.uitm.edu.my/id/eprint/40970/
_version_ 1690374300120383488
score 13.211869

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