Evidence map›Paper›PMID 32178343›Full record

ArticlePolymers2020

Tensile Mechanical Behaviour of Multi-Polymer Sandwich Structures via Fused Deposition Modelling.

David Moises Baca Lopez, Rafiq Ahmad

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
5.4field-weighted citation impact, top 4% of its field
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

27 citing papers in PubMed, 107 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

David Moises Baca LopezLaboratory of Intelligent Manufacturing, Design, and Automation (LIMDA), Department of Mechanical Engineering, University of Alberta, 9211 116 St NW, Edmonton, AB T6G 1H9, Canada.
Rafiq AhmadLaboratory of Intelligent Manufacturing, Design, and Automation (LIMDA), Department of Mechanical Engineering, University of Alberta, 9211 116 St NW, Edmonton, AB T6G 1H9, Canada.ORCID 0000-0001-9353-3380
University of Alberta · CA

Funding

Consejo Nacional de Ciencia y Tecnología 625788/472485Natural Sciences and Engineering Research Council of Canada RGPIN-2017-04516
6 · The paper itself

Abstract

The application of single homogeneous materials produced through the fused deposition modelling (FDM) technology restricts the production of high-level multi-material components. The fabrication of a sandwich-structured specimen with different material combinations using conventional thermoplastics such as poly (lactic acid) (PLA), acrylonitrile butadiene styrene (ABS) and high impact polystyrene (HIPS) through the filament-based extrusion process can demonstrate an improvement on its properties. This paper aims to assess among these materials, the best material sandwich-structured arrangement design, to enhance the mechanical properties of a part and to compare the results with the homogeneous materials selected. The samples were subjected to tensile testing to identify the tensile strength, elongation at break and Young's modulus of each material combination. The experimental results demonstrate that applying the PLA-ABS-PLA sandwich arrangement leads to the best mechanical properties between these materials. This study enables users to consider sandwich structure designs as an alternative to manufacturing multi-material components using conventional and low-cost materials. Future work will consider the flexural tests to identify the maximum stresses and bending forces under pressure.

Indexed as

additive manufacturingfused deposition modellingmulti-material 3D printingsandwich structure

Identifiers

PMID32178343
PMCPMC7183083
OpenAlexW3011489445

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.