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Record W2006652726 · doi:10.1515/ijcre-2013-0131

Kinetics and Mechanism of Formaldehyde-Free Phenol-Glucose Novolac Resin Cured with an Epoxy

2014· article· en· W2006652726 on OpenAlexaff
Yongsheng Zhang, Mingguang Chen, Zhongshun Yuan, Chunbao Xu

Bibliographic record

VenueInternational Journal of Chemical Reactor Engineering · 2014
Typearticle
Languageen
FieldChemical Engineering
TopicCarbon dioxide utilization in catalysis
Canadian institutionsWestern University
Fundersnot available
KeywordsHexamethylenetetramineCuring (chemistry)FormaldehydeAutocatalysisEpoxyPhenolDifferential scanning calorimetryOrder of reactionActivation energyPhenol formaldehyde resinKineticsChemistryMaterials scienceChemical engineeringPolymer chemistryCatalysisOrganic chemistryReaction rate constant

Abstract

fetched live from OpenAlex

Abstract Formaldehyde used in manufacture and curing of phenol formaldehyde (PF) resins is a big challenge for the PF industry with respect to sustainability and human health. Glucose has grand potential to replace formaldehyde in synthesis of bio-based phenolic novolac resins curable with hexamethylenetetramine (HMTA, derived from formaldehyde), an obstacle to achieve formaldehyde-free curing. This study reports the curing of phenol-glucose novolac resin with a bis-phenol-A type epoxy without using HMTA. The curing process was investigated by using dynamic differential scanning calorimetry measurements at different heating rates. Apparent activation energy of the curing reaction is 109.6 kJ/mol. Sestak–Berggren equation model was determined to be the reaction model according to Málek methods. The model-predicted reaction rates showed a good agreement with the experimental results. The results showed that the curing process was complicated; the kinetics expression was shown to be first-order autocatalytic reaction.

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)0.001
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 score0.100
Threshold uncertainty score0.724

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.000
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 head0.006
GPT teacher head0.215
Teacher spread0.209 · 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

Citations4
Published2014
Admission routes1
Has abstractyes

Explore more

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