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Record W3216282980 · doi:10.1002/app.51955

Investigation of the accelerated thermal aging behavior of polyetherimide and lifetime prediction at elevated temperature

2021· article· en· W3216282980 on OpenAlexafffund
Chungyeon Cho, Seo Lin Nam, A. Paulina de la Mata, James J. Harynuk, Anastasia Elias, Hyun‐Joong Chung, Patricia I. Dolez

Bibliographic record

VenueJournal of Applied Polymer Science · 2021
Typearticle
Languageen
FieldMaterials Science
TopicPolymer crystallization and properties
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPolyetherimideMaterials scienceComposite materialPolymerUltimate tensile strengthTime–temperature superpositionActivation energyGlass transitionAccelerated agingChemistry

Abstract

fetched live from OpenAlex

Abstract Fire‐protective clothing are manufactured using heat and flame resistant fibers that are made of high‐performance polymers. These polymers exhibit a gradual reduction in their performance after long‐term exposure under various aging conditions. This study investigates the thermal aging behavior of a high‐temperature resistance polymer, polyetherimide (PEI), at elevated temperatures in air. Changes in the ultimate tensile strength (UTS), glass transition temperature, and surface properties are observed. In addition, infrared spectroscopy identifies chemical bonds in PEI being consumed because of chain scission. Applying the time–temperature superposition principle to the UTS data gives an activation energy of 112 kJ mol −1 for the effect of thermal aging on the mechanical strength of PEI. This value is similar to what has been reported for fire‐protective clothing fabrics, which opens the possibility to use PEI as a sensing material for the development of end‐of‐life sensors for fire‐protective fabrics.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.277

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.228
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations21
Published2021
Admission routes2
Has abstractyes

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