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Record W2998945392 · doi:10.1002/macp.201900475

Physical Aging as the Driving Force for Brittle–Ductile Transition of Polylactic Acid

2020· article· en· W2998945392 on OpenAlexaff
Guoqing Zhao, F.P.C. Gomes, Heera S. Marway, Michael R. Thompson, Zhirong Zhu

Bibliographic record

VenueMacromolecular Chemistry and Physics · 2020
Typearticle
Languageen
FieldMaterials Science
Topicbiodegradable polymer synthesis and properties
Canadian institutionsMcMaster University
FundersNational Natural Science Foundation of China
KeywordsPolylactic acidElongationBrittlenessModulusDuctility (Earth science)Materials scienceRheologyPolymerComposite materialYield (engineering)Dynamic mechanical analysisIrradiationUltravioletUltimate tensile strengthCreepPhysics

Abstract

fetched live from OpenAlex

Abstract Polylactic acid (PLA) is an inherently brittle polymer, exhibiting a high Young's modulus and minimal elongation‐at‐break. To transition its failure mode to one that is much more ductile without loss in strength is challenging. A new strategy combining physical aging with ultraviolet (UV) radiation is carried out to reach the desired mechanical properties of PLA. Characterization of the modified resin is done by mechanical, rheological, and acoustic analysis. With the new processing strategy, the elongation‐at‐break of PLA increases from below 5% up to 18% by conditioning at −40 °C for 48 h followed by UV irradiation for 30 h. Correspondingly, results demonstrate that the yield strength and Young's modulus remain statistically unchanged. The interlocked entanglements inhibit the formation and evolution of subordered structures, which are attributed to the gained ductility. The high entanglement density and few subordered structures in the modified polymer system contribute to the unusual elongation‐at‐break without alteration of the modulus.

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)0.000
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 score0.015
Threshold uncertainty score0.356

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.012
GPT teacher head0.219
Teacher spread0.207 · 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

Citations20
Published2020
Admission routes1
Has abstractyes

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