Evidence map›Paper›PMID 36676557›Full record

ArticleMaterials (Basel, Switzerland)2023

Modeling Materials Coextrusion in Polymers Additive Manufacturing.

Riccardo Sponchiado, Stefano Rosso, Pierandrea Dal Fabbro, Luca Grigolato, Hamada Elsayed, Enrico Bernardo, Mattia Maltauro, Francesca Uccheddu, Roberto Meneghello, Gianmaria Concheri and 1 more

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Riccardo SponchiadoDepartment of Civil, Environmental, and Architectural Engineering, University of Padova, 35122 Padua, Italy.
Stefano RossoDepartment of Civil, Environmental, and Architectural Engineering, University of Padova, 35122 Padua, Italy.ORCID 0000-0001-7900-6349
Pierandrea Dal FabbroDepartment of Civil, Environmental, and Architectural Engineering, University of Padova, 35122 Padua, Italy.ORCID 0000-0002-3712-0220
Luca GrigolatoDepartment of Civil, Environmental, and Architectural Engineering, University of Padova, 35122 Padua, Italy.ORCID 0000-0001-7041-1794
Hamada ElsayedDepartment of Industrial Engineering, University of Padova, 35122 Padua, Italy.ORCID 0000-0002-9818-4498
Enrico BernardoDepartment of Industrial Engineering, University of Padova, 35122 Padua, Italy.ORCID 0000-0003-4934-4405
Mattia MaltauroDepartment of Management and Engineering, University of Padova, 35122 Padua, Italy.ORCID 0000-0002-8339-9306
Francesca UcchedduDepartment of Industrial Engineering, University of Padova, 35122 Padua, Italy.
Roberto MeneghelloDepartment of Management and Engineering, University of Padova, 35122 Padua, Italy.ORCID 0000-0002-8099-9795
Gianmaria ConcheriDepartment of Civil, Environmental, and Architectural Engineering, University of Padova, 35122 Padua, Italy.ORCID 0000-0001-5612-5943
Gianpaolo SavioDepartment of Civil, Environmental, and Architectural Engineering, University of Padova, 35122 Padua, Italy.ORCID 0000-0001-5858-1483

Funding

Department of Civil, Environmental, and Architectural Engineering - University of Padova BIRD 190850Regional Operational Program F.S.E. 2014-2020 Veneto Region and the European Regional De-velopment Fund POR 2014-2020 2105-0036-1463-2019
6 · The paper itself

Abstract

Material extrusion additive manufacturing enables us to combine more materials in the same nozzle during the deposition process. This technology, called material coextrusion, generates an expanded range of material properties, which can gradually change in the design domain, ensuring blending or higher bonding/interlocking among the different materials. To exploit the opportunities offered by these technologies, it is necessary to know the behavior of the combined materials according to the materials fractions. In this work, two compatible pairs of materials, namely Polylactic Acid (PLA)-Thermoplastic Polyurethane (TPU) and Acrylonitrile Styrene Acrylate (ASA)-TPU, were investigated by changing the material fractions in the coextrusion process. An original model describing the distribution of the materials is proposed. Based on this, the mechanical properties were investigated by analytical and numerical approaches. The analytical model was developed on the simplified assumption that the coextruded materials are a set of rods, whereas the more realistic numerical model is based on homogenization theory, adopting the finite element analysis of a representative volume element. To verify the deposition model, a specific experimental test was developed, and the modeled material deposition was superimposed and qualitatively compared with the actual microscope images regarding the different deposition directions and material fractions. The analytical and numerical models show similar trends, and it can be assumed that the finite element model has a more realistic behavior due to the higher accuracy of the model description. The elastic moduli obtained by the models was verified in experimental tensile tests. The tensile tests show Young's moduli of 3425 MPa for PLA, 1812 MPa for ASA, and 162 MPa for TPU. At the intermediate material fraction, the Young's modulus shows an almost linear trend between PLA and TPU and between ASA and TPU. The ultimate tensile strength values are 63.9 MPa for PLA, 35.7 MPa for ASA, and 63.5 MPa for TPU, whereas at the intermediate material fraction, they assume lower values. In this initial work, the results show a good agreement between models and experiments, providing useful tools for designers and contributing to a new branch in additive manufacturing research.

Indexed as

additive manufacturingcoextrusionfused deposition modelingmaterial extrusionmaterial modeling

Identifiers

PMID36676557
PMCPMC9863070

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Registered trials

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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.