Evidence map›Paper›PMID 33916414›Full record

ArticleMaterials (Basel, Switzerland)2021

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

Norshahira Roslan, Shayfull Zamree Abd Rahim, Abdellah El-Hadj Abdellah, Mohd Mustafa Al Bakri Abdullah, Katarzyna Błoch, Paweł Pietrusiewicz, Marcin Nabiałek, Janusz Szmidla, Dariusz Kwiatkowski, Joel Oliveira Correia Vasco and 2 more

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Norshahira RoslanFaculty of Mechanical Engineering Technology, Pauh Putra Main Campus, Universiti Malaysia Perlis, Perlis 02600, Malaysia.
Shayfull Zamree Abd RahimFaculty of Mechanical Engineering Technology, Pauh Putra Main Campus, Universiti Malaysia Perlis, Perlis 02600, Malaysia.
Abdellah El-Hadj AbdellahLaboratory of Mechanics, Physics and Mathematical Modelling (LMP2M), University of Medea, Medea 26000, Algeria.ORCID 0000-0002-3209-8132
Mohd Mustafa Al Bakri AbdullahCenter of Excellence Geopolymer and Green Technology (CEGeoGTech), Universiti Malaysia Perlis, Perlis 01000, Malaysia.
Katarzyna BłochDepartment of Physics, Faculty of Processing Engineering and Materials Technology, Częstochowa University of Technology, 42-200 Częstochowa, Poland.
Paweł PietrusiewiczDepartment of Physics, Faculty of Processing Engineering and Materials Technology, Częstochowa University of Technology, 42-200 Częstochowa, Poland.ORCID 0000-0001-8336-5213
Marcin NabiałekDepartment of Physics, Faculty of Processing Engineering and Materials Technology, Częstochowa University of Technology, 42-200 Częstochowa, Poland.
Janusz SzmidlaFaculty of Mechanical Engineering and Computer Science, Częstochowa University of Technology, 42-200 Częstochowa, Poland.ORCID 0000-0002-7475-7925
Dariusz KwiatkowskiFaculty of Mechanical Engineering and Computer Science, Częstochowa University of Technology, 42-200 Częstochowa, Poland.
Joel Oliveira Correia VascoDepartment of Mechanical Engineering, School of Technology and Management (ESTG), Polytechnic of Leiria, 2411-901 Leiria, Portugal.ORCID 0000-0001-8185-8145
Mohd Nasir Mat SaadFaculty of Mechanical Engineering Technology, Pauh Putra Main Campus, Universiti Malaysia Perlis, Perlis 02600, Malaysia.
Mohd Fathullah GhazaliFaculty of Mechanical Engineering Technology, Pauh Putra Main Campus, Universiti Malaysia Perlis, Perlis 02600, Malaysia.ORCID 0000-0001-6307-3440

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

Indexed as

particle swarm optimisationrecycled low-density polyethylene (LDPE)response surface methodologyshrinkagestrength

Identifiers

PMID33916414
PMCPMC8038620

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.