Evidence map›Paper›PMID 38037665›Full record

ArticleACS applied engineering materials2023

Multiscale Process Modeling of Semicrystalline PEEK for Tailored Thermomechanical Properties.

Khatereh Kashmari, Hashim Al Mahmud, Sagar U Patil, William A Pisani, Prathamesh Deshpande, Marianna Maiaru, Gregory M Odegard

Abstract read
In one paragraph

Article in ACS applied engineering materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

7 authors.

Khatereh KashmariMichigan Technological University, Houghton, Michigan 49931, United States.ORCID https://orcid.org/0009-0007-4406-3635
Hashim Al MahmudFaculty of Engineering, University of Kufa, Najaf 54001, Iraq.
Sagar U PatilMichigan Technological University, Houghton, Michigan 49931, United States.ORCID https://orcid.org/0000-0003-4301-777X
William A PisaniMichigan Technological University, Houghton, Michigan 49931, United States.
Prathamesh DeshpandeMichigan Technological University, Houghton, Michigan 49931, United States.ORCID https://orcid.org/0000-0003-1441-678X
Marianna MaiaruUniversity of Massachusetts Lowell, Lowell, Massachusetts 01854, United States.
Gregory M OdegardMichigan Technological University, Houghton, Michigan 49931, United States.ORCID https://orcid.org/0000-0001-7577-6565

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polyether ether ketone (PEEK) is a semicrystalline thermoplastic that is used in high-performance composites for a wide range of applications. Because the crystalline phase has a higher mass density than that of the amorphous phase, the evolution of the crystalline phase during high-temperature annealing processing steps results in the formation of residual stresses and laminate deformations, which can adversely affect the composite laminate performance. Multiscale process modeling, utilizing molecular dynamics, micromechanics, and phenomenological PEEK crystal kinetic laws, is used to predict the evolution of volumetric shrinkage, elastic properties, and thermal properties, as a function of crystalline phase evolution, and thus annealing time, in the 306-328 °C temperature range. The results indicate that lower annealing temperatures in this range result in a faster evolution of thermomechanical properties and shrinkage toward the pure crystalline values. Therefore, from the perspective of composite processing, it may be more advantageous to choose the higher annealing rates in this range to slow the volumetric shrinkage and allow PEEK stress relaxation mechanisms more time to relax internal residual stresses in PEEK composite laminates and structures.

Identifiers

PMID38037665
PMCPMC10682963

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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.