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Record W2147675091 · doi:10.1520/stp11017s

Thermal Physical and Optical Properties of Fiber Insulation Materials in the Temperature Range 200 – 1800 °C

2002· book-chapter· en· W2147675091 on OpenAlexaff
Efim Litovsky, JI Kleiman, Naftaly Menn

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldMaterials Science
TopicMaterial Properties and Applications
Canadian institutionsIntegrity Testing Laboratory (Canada)
Fundersnot available
KeywordsMaterials scienceRange (aeronautics)Atmospheric temperature rangeThermalComposite materialEngineering physicsPhysicsThermodynamics

Abstract

fetched live from OpenAlex

Thermal physical (thermal diffusivity and conductivity) and optical (attenuation, absorption and scattering) properties of alumina fiber insulation materials were measured. The measurements of apparent thermophysical properties are based on the method of heating of plate specimens at a constant rate. The determination of the conductive and the radiative components of apparent properties is based on the combined radiative-conductive heat transfer theory (RCHT) and the measurement of optical properties. The significant influence of the heat radiation component on the apparent thermal physical properties is demonstrated. Other heat transfer mechanisms that affect the apparent thermal conductivity are also analyzed. Limitations of standard methods for measurement of apparent thermal physical properties of semitransparent fiber materials, including anisotropic materials, are discussed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.002

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 head0.027
GPT teacher head0.218
Teacher spread0.191 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2002
Admission routes1
Has abstractyes

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