Evidence map›Paper›PMID 40550786›Full record

ArticleMacromolecular rapid communications2025

Tunable Elasto-Viscoplastic Properties of Polymer Blends for 3D Printing Applications.

Ases Akas Mishra, Manoj Chandregowda, Janina Faiß, Marko Bek, Ann E Terry, Kim Nygård, Dragana Arlov, Roland Kádár

Abstract read
In one paragraph

Article in Macromolecular rapid communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Ases Akas MishraChalmers University of Technology, Department of Industrial and Materials Science, Göteborg, Sweden.ORCID https://orcid.org/0000-0001-7249-3180
Manoj ChandregowdaChalmers University of Technology, Department of Chemistry and Chemical Engineering, Göteborg, Sweden.
Janina FaißUniversity of Stuttgart, Chemical- and Bio-Engineering, Stuttgart, Germany.
Marko BekChalmers University of Technology, Department of Industrial and Materials Science, Göteborg, Sweden.
Ann E TerryLINXS Institute of advanced Neutron and X-ray Science (LINXS), Lund, Sweden.
Kim NygårdLINXS Institute of advanced Neutron and X-ray Science (LINXS), Lund, Sweden.
Dragana ArlovLINXS Institute of advanced Neutron and X-ray Science (LINXS), Lund, Sweden.
Roland KádárChalmers University of Technology, Department of Industrial and Materials Science, Göteborg, Sweden.

Funding

Formas 2019-02496HORIZON EUROPE Marie Sklodowska-Curie Actions 955605Swedish Governmental Agency for Innovation Systems 2018-04969Swedish Research council 2018-07152
6 · The paper itself

Abstract

Post-extrusion flow dynamics of soft matter are governed by their elasto-viscoplastic (EVP) rheological properties, which influence filament stability, die swelling, and shape fidelity in extrusion-based 3D printing. Achieving precision and control in printed structures requires optimizing yield stress, viscoelasticity, and extrusion pressure to minimize excessive die swelling and material spreading, which can lead to unstable extrusion and poor print fidelity. We investigate Carbopol-polyethylene oxide (PEO) blends as model EVP fluids, systematically varying their composition to assess die swelling, print width, and deposition accuracy. Rheo-SAXS measurements reveal that die swelling can be directly related to characteristic nanoscale lengthscales. Parametric analysis using the Ohnesorge (

Indexed as

Polyethylene GlycolsPolymersPrinting, Three-DimensionalElasticityRheologyViscosityPolyethylene GlycolsPolymers3D printingdie swellingelasto‐viscoplasticinkjet printingviscoelasticityyield stress

Identifiers

PMID40550786
PMCPMC12687721

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.