Evidence map›Paper›PMID 41516913›Full record

ArticlePolymers2025

The Stiffness for Viscous Deformation in the Interlamellar Amorphous Region of Polyethylene.

P-Y Ben Jar, Na Tan, Salman Obaidoon, Arash Alizadeh, João B P Soares

Abstract read
In one paragraph

Article in Polymers, 2025. 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

5 authors.

P-Y Ben JarDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada.ORCID 0000-0001-9569-6124
Na TanDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada.ORCID 0000-0002-8975-337X
Salman ObaidoonDepartment of Chemical & Materials Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada.
Arash AlizadehDepartment of Chemical & Materials Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada.ORCID 0000-0001-7999-5650
João B P SoaresDepartment of Chemical & Materials Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada.

Funding

Natural Sciences and Engineering Research Council of Canada 2022-03588
6 · The paper itself

Abstract

A spring-dashpot model, consisting of a spring branch and two Maxwell (named long- and short-term) branches, was used to simulate stress drop during the relaxation stages of multi-relaxation (MR) tests. This work shows that the stress drop at relaxation in a deformation range around the peak stress could be closely simulated without changing the parameter values for the short-term branch. This possibility was confirmed using three ethylene/1-hexene copolymers and one ethylene homo-polymer, among which the main differences are mass density and short-chain branch (SCB) content. The work examined the influence of SCB content and mass density on the stiffness of the two Maxwell branches, and the results showed that, unlike the long-term branch counterpart, stiffness of the short-term branch is not a monotonic function of the SCB content or the mass density. This led to a discussion on the possible relationship between the stiffness of the two Maxwell branches and the deformation resistance of the amorphous phase at different locations of the microstructure, i.e., in the interlamellar region and as part of the network structure. The paper concludes that a combination of the MR test and the spring-dashpot model could provide information that is related to the stiffness in different parts of PE's amorphous phase, though further work is needed to verify this conclusion.

Indexed as

MR testpolyethylenespring–dashpot modelstiffness of the interlamellar region

Identifiers

PMID41516913
PMCPMC12787772

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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.