Optimisation of Shrinkage and Strength on Thick Plate Part Using Recycled LDPE Materials

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Main Authors: Shayfull Zamree, Abd Rahim, Norshahira, Roslan, Abdellah El-hadj, Abdellah, Mohd Mustafa Al Bakri, Abdullah, Błoch, Katarzyna, Pietrusiewicz, Paweł, Nabiałek, Marcin, Szmidla, Janusz, Kwiatkowski, Dariusz, Correia Vasco, Joel Oliveira, Mohd Nasir, Mat Saad, Mohd Fathullah, Ghazali
Other Authors: shayfull@unimap.edu.my
Format: Article
Language:English
Published: MDPI AG 2021
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Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72984
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spelling my.unimap-729842021-12-23T06:28:32Z Optimisation of Shrinkage and Strength on Thick Plate Part Using Recycled LDPE Materials Shayfull Zamree, Abd Rahim Norshahira, Roslan Shayfull Zamree, Abd Rahim Abdellah El-hadj, Abdellah Mohd Mustafa Al Bakri, Abdullah Błoch, Katarzyna Pietrusiewicz, Paweł Nabiałek, Marcin Szmidla, Janusz Kwiatkowski, Dariusz Correia Vasco, Joel Oliveira Mohd Nasir, Mat Saad Mohd Fathullah, Ghazali shayfull@unimap.edu.my Faculty of Mechanical Engineering Technology, Universiti Malaysia Perlis (UniMAP) Centre of Excellence Geopolymer and Green Technology (CEGeoGTech), Universiti Malaysia Perlis (UniMAP) Laboratory of Mechanics, Physics and Mathematical Modelling (LMP2M), University of Medea Faculty of Chemical Engineering Technology, Universiti Malaysia Perlis (UniMAP) Department of Physics, Faculty of Processing Engineering and Materials Technology, Częstochowa University of Technology Faculty of Mechanical Engineering and Computer Science, Częstochowa University of Technology Department of Mechanical Engineering, School of Technology and Management (ESTG), Polytechnic of Leiria Response surface methodology Particle swarm optimisation Recycled low-density polyethylene (LDPE) Shrinkage Strength Link to publisher's homepage at https://www.mdpi.com/ Achieving good quality of products from plastic injection moulding processes is very challenging, since the process comprises many affecting parameters. Common defects such as warpage are hard to avoid, and the defective parts will eventually go to waste, leading to unnecessary costs to the manufacturer. The use of recycled material from postindustrial waste has been studied by a few researchers. However, the application of an optimisation method by which to optimise processing parameters to mould parts using recycled materials remains lacking. In this study, Response Surface Methodology (RSM) and Particle Swarm Optimisation (PSO) methods were conducted on thick plate parts moulded using virgin and recycled low-density polyethylene (LDPE) materials (100:0, 70:30, 60:40 and 50:50; virgin to recycle material ratios) to find the optimal input parameters for each of the material ratios. Shrinkage in the x and y directions increased in correlation with the recycled ratio, compared to virgin material. Meanwhile, the tensile strength of the thick plate part continued to decrease when the recycled ratio increased. R30 (70:30) had the optimum shrinkage in the x direction with respect to R0 (100:0) material where the shrinkage increased by 24.49% (RSM) and 33.20% (PSO). On the other hand, the shrinkage in the y direction for R30 material increased by 4.48% (RSM) and decreased by 2.67% (PSO), while the tensile strength of R30 (70:30) material decreased by 0.51% (RSM) and 2.68% (PSO) as compared to R0 (100:0) material. Validation tests indicated that the optimal setting of processing parameter suggested by PSO and RSM for R0 (100:0), R30 (70:30), R40 (60:40) and R50 (50:50) was less than 10%. 2021-12-23T06:28:32Z 2021-12-23T06:28:32Z 2021-04-05 Article Materials, vol. 14(7), 2021, pages 1795 1996-1944 http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72984 https://www.mdpi.com/1996-1944/14/7/1795 https://doi.org/10.3390/ma14071795 en MDPI AG
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Response surface methodology
Particle swarm optimisation
Recycled low-density polyethylene (LDPE)
Shrinkage
Strength
spellingShingle Response surface methodology
Particle swarm optimisation
Recycled low-density polyethylene (LDPE)
Shrinkage
Strength
Shayfull Zamree, Abd Rahim
Norshahira, Roslan
Shayfull Zamree, Abd Rahim
Abdellah El-hadj, Abdellah
Mohd Mustafa Al Bakri, Abdullah
Błoch, Katarzyna
Pietrusiewicz, Paweł
Nabiałek, Marcin
Szmidla, Janusz
Kwiatkowski, Dariusz
Correia Vasco, Joel Oliveira
Mohd Nasir, Mat Saad
Mohd Fathullah, Ghazali
Optimisation of Shrinkage and Strength on Thick Plate Part Using Recycled LDPE Materials
description Link to publisher's homepage at https://www.mdpi.com/
author2 shayfull@unimap.edu.my
author_facet shayfull@unimap.edu.my
Shayfull Zamree, Abd Rahim
Norshahira, Roslan
Shayfull Zamree, Abd Rahim
Abdellah El-hadj, Abdellah
Mohd Mustafa Al Bakri, Abdullah
Błoch, Katarzyna
Pietrusiewicz, Paweł
Nabiałek, Marcin
Szmidla, Janusz
Kwiatkowski, Dariusz
Correia Vasco, Joel Oliveira
Mohd Nasir, Mat Saad
Mohd Fathullah, Ghazali
format Article
author Shayfull Zamree, Abd Rahim
Norshahira, Roslan
Shayfull Zamree, Abd Rahim
Abdellah El-hadj, Abdellah
Mohd Mustafa Al Bakri, Abdullah
Błoch, Katarzyna
Pietrusiewicz, Paweł
Nabiałek, Marcin
Szmidla, Janusz
Kwiatkowski, Dariusz
Correia Vasco, Joel Oliveira
Mohd Nasir, Mat Saad
Mohd Fathullah, Ghazali
author_sort Shayfull Zamree, Abd Rahim
title Optimisation of Shrinkage and Strength on Thick Plate Part Using Recycled LDPE Materials
title_short Optimisation of Shrinkage and Strength on Thick Plate Part Using Recycled LDPE Materials
title_full Optimisation of Shrinkage and Strength on Thick Plate Part Using Recycled LDPE Materials
title_fullStr Optimisation of Shrinkage and Strength on Thick Plate Part Using Recycled LDPE Materials
title_full_unstemmed Optimisation of Shrinkage and Strength on Thick Plate Part Using Recycled LDPE Materials
title_sort optimisation of shrinkage and strength on thick plate part using recycled ldpe materials
publisher MDPI AG
publishDate 2021
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72984
_version_ 1724609982214701056
score 13.214268