Mathematical modeling of high-energy materials rheological behavior in 3D printing technology.

Olga Kudryashova, Nikita Toropkov, Marat Lerner, Vladimir Promakhov, Alexander Vorozhtsov, Evgeny Mironov

Abstract read

In one paragraph

Article in Heliyon, 2023. 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

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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.

Rheology as a Tool for Fine-Tuning the Properties of Printable Bioinspired Gels.Molecules (Basel, Switzerland) · 2023
Review

4 · The record

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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

6 authors.

Olga KudryashovaNational Research Tomsk State University, 634050 Tomsk, Russia.

Nikita ToropkovNational Research Tomsk State University, 634050 Tomsk, Russia.

Marat LernerNational Research Tomsk State University, 634050 Tomsk, Russia.

Vladimir PromakhovNational Research Tomsk State University, 634050 Tomsk, Russia.

Alexander VorozhtsovNational Research Tomsk State University, 634050 Tomsk, Russia.

Evgeny MironovGazpromneft - Digital Solutions LLC, 196084, Saint Petersburg, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, a mathematical model of the extrusion process in 3D printing of high-energy composites is studied. These composites are formed from polymer binder and powder with bimodal particles obtained by electric explosion technique. The main difficulty of extrusion 3D printing method is primarily linked to the high viscosity of utilized material, especially one with high concentration of particles. In this case, the viscosity of the initial mixture depends on the pressure, temperature and concentration of the filler, as well as on the particle dispersion. Under certain conditions the ignition of high-energy material in the nozzle is possible, thus the search for optimal printing parameters based on the mathematical modeling and the following experimental verification are the main purposes of the current work.

Indexed as

3D printingAdditive manufacturingCompositesFDMFlowabilityHigh-energy materialsMaterial extrusionMathematical model

Identifiers

PMID36699269

DOI10.1016/j.heliyon.2022.e12026

PMCPMC9868377

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LicenceCC BY-NC-ND

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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.