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Morphological and Physico-Thermal Properties of Soy-Based Open-Cell Spray Polyurethane Foam Insulation Modified With Wood Pulp Fiber

2014· article· en· W1825011331 on OpenAlexaffvenue
Mustafa Khazabi, Mohini Sain

Bibliographic record

VenueAdvances in petroleum exploration and development · 2014
Typearticle
Languageen
FieldMaterials Science
TopicFlame retardant materials and properties
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMaterials sciencePolyurethaneComposite materialAir permeability specific surfacePulp (tooth)FiberFourier transform infrared spectroscopyPolyesterSoy proteinComposite numberChemical engineeringChemistry

Abstract

fetched live from OpenAlex

Replacing polyether and polyester polyols with soy-based vegetable oil, using water as a blowing agent, would provide environmentally friendlier spray foam insulations, making buildings safer places to live in. The objective of this work was to produce sustainable open-cell spray polyurethane foam insulation from soy-based polyol and enhance its properties by incorporation of wood pulp fiber. The effect of wood fiber in composite foam was investigated in terms of its morphology by Fourier Transform Infrared (FTIR), Scanning Electron Microscopy (SEM), and Thermo-gravimetric Analysis (TGA). The changes in foam properties such as bulk density, compressive strength, water vapor permeability and thermal resistance were observed. Addition of fiber as reinforcement improved bulk density, moisture permeability and thermal degradation, but slightly reduced the comprehensive strength and thermal resistance of the insulation foam. Key words : Spray foam; Polyol; Isocyanate; Wood fiber; Hydrogen bonding; Polyurethane; Urethane; Urea; Hard segment; Open-cell

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 score0.013
Threshold uncertainty score0.439

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 communication0.0000.001
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 head0.028
GPT teacher head0.230
Teacher spread0.202 · 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

Citations3
Published2014
Admission routes2
Has abstractyes

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