Evidence map›Paper›PMID 36501569›Full record

ArticlePolymers2022

Compression Relaxation of Multi-Structure Polymer Composites in Penetrating Liquid Medium.

Alexander Kondratov, Valery Konyukhov, Stanislav Yamilinets, Ekaterina Marchenko, Gulsharat Baigonakova

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2022. 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
8.2field-weighted citation impact, top 3% 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

0 citing papers in PubMed, 6 citations in OpenAlex.

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

5 authors at 3 institutions in 1 country.

Alexander KondratovDepartment of Innovative Materials in the Print Media Industry, Moscow Polytechnic University, 107023 Moscow, Russia.
Valery KonyukhovDepartment of Physical Chemistry, Mendeleev University of Chemical Technology, 125047 Moscow, Russia.ORCID 0000-0002-6128-9413
Stanislav YamilinetsDepartment of Innovative Materials in the Print Media Industry, Moscow Polytechnic University, 107023 Moscow, Russia.ORCID 0000-0002-9598-1117
Ekaterina MarchenkoLaboratory of Superelastic Biointerfaces, National Research Tomsk State University, 634045 Tomsk, Russia.ORCID 0000-0003-4615-5270
Gulsharat BaigonakovaLaboratory of Superelastic Biointerfaces, National Research Tomsk State University, 634045 Tomsk, Russia.ORCID 0000-0001-9853-2766
Moscow Polytechnic University · RUNational Research Tomsk State University · RUD. Mendeleyev University of Chemical Technology of Russia · RU

Funding

the Tomsk State University Development Programme (Priority-2030)
6 · The paper itself

Abstract

Multi-structural polymer composites are widely used in the mechanical engineering, automotive, aviation and oil refining industries, as well as in the printing industry as a shock-absorbing deckle on the offset cylinders of printing machines. During offset printing, composites come into contact with inks and washing solutions, the components of which penetrate the material and cause the polymers to swell. This process degrades the print quality, and for this reason the study of its features is relevant. The prerequisites for this work are the study of the fundamental laws of diffusion and sorption of liquids by polymers with different micro- and macro-structures in different physical states and in different forms (e.g., films, sheets, fibers and fabrics). The combination of polymer materials in the composition of multi-structural fabric blankets makes it possible to obtain materials with unique mechanical properties and high resistance to liquid penetrating media and to use them in high-tech processes of multi-color printing with high resolution and color rendering. This article reports for the first time the kinetics and thermodynamics results obtained from the swelling of multi-structural polymeric blankets in solvents used in printing, and the effect of sorption of different polar liquids on the viscoelastic strain under compression during the operation of the damping systems of printing machines. Using mathematical models of activated liquid diffusion in polymers and deformation of a viscoelastic body, the swelling rate constants, solvent diffusion coefficients (the kinetic characteristics of the swelling process) and Flory−Huggins parameters (the thermodynamic characteristics of the interaction of the solvent with the composite) for composite−solvent systems with several chemical composition variants were determined. The elastic modulus and the viscosity coefficient of the composite under liquid saturation were calculated based on the experimental cyclic compression data. The range of change in the compression and restoration times of the polymeric blankets (0.09 s ÷ 0.78 s) was determined. It was shown that the composite swelled to a limited extent in all the studied liquids. All solvents used were thermodynamically poor (χ > 0.5). It has been established that rubber−fabric blankets coated with nitrile rubber are the least resistant to the action of dichloroethane, and that blankets with layers of polyolefins are not resistant to ethyl acetate. Water significantly affects the physicochemical properties of rubber−fabric blankets with a large proportion of cotton fabric layers. The data obtained can serve as a basis for optimizing the compositions of inks and cleaning solutions, as well as a theoretical basis for the thermodynamics of composite−solvent systems.

Indexed as

compressive strain relaxationdiffusion coefficientFlory–Huggins criterionliquid sorptionoffset printing blanketpolygraphypolymer compositespolymer swelling

Identifiers

PMID36501569
PMCPMC9738001
OpenAlexW4310154947

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.