MétaCan
Menu
Back to cohort
Record W2518113887 · doi:10.1002/pc.24170

Tensile properties retention of aged carbon‐FRP sheets made of fully and partially bio‐based resins and conventional epoxy

2016· article· en· W2518113887 on OpenAlexaff
Ciaran McSwiggan, Amir Fam

Bibliographic record

VenuePolymer Composites · 2016
Typearticle
Languageen
FieldMaterials Science
TopicNatural Fiber Reinforced Composites
Canadian institutionsQueen's University
Fundersnot available
KeywordsMaterials scienceUltimate tensile strengthComposite materialEpoxyFibre-reinforced plasticYoung's modulusIzod impact strength testModulus

Abstract

fetched live from OpenAlex

This article investigates the environmental aging of two types of bio‐resin carbon fiber reinforced polymer (CFRP) through immersion in saltwater at various temperatures, and compares results to conventional epoxy (E)‐CFRP. The two types are: a fully bio‐resin, namely furfural alcohol (FA), derived from corn‐cobs and sugarcane, and the second is a partial bio‐resin, namely epoxidized pine oil blend (EP) extracted from pine tree sap. Control specimens showed that EP resin resulted in similar CFRP strength and modulus to E resin, whereas FA resin resulted in a 9% lower strength and 14% higher modulus. These were shown by the Analysis of Variance (ANOVA) to be statistically insignificant. After 240 days exposure, tensile strength retentions of EP‐CFRP at 23°C, 40°C, and 50°C were 97%, 98%, and 92%, respectively, while those of FA‐CFRP were 83%, 81%, and 82%. For reference, retentions of E‐CFRP were 101%, 90%, and 95%. ANOVA showed that the differences in retentions between EP‐ and E‐CFRP are statistically insignificant at all temperatures, while the differences between FA‐ and E‐CFRP are significant at 23°C and 50°C after 240 days only. Also, the reductions in strength over the 240 days for each resin type are insignificant, except for FA‐CFRP at 50°C. CFRP generally suffered remarkably less deterioration than glass‐FRP at elevated temperatures, for both E and FA resins. POLYM. COMPOS., 39:2081–2092, 2018. © 2016 Society of Plastics Engineers

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 score0.019
Threshold uncertainty score0.470

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 head0.018
GPT teacher head0.216
Teacher spread0.197 · 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

Citations12
Published2016
Admission routes1
Has abstractyes

Explore more

Same venuePolymer CompositesSame topicNatural Fiber Reinforced CompositesFrench-language works237,207