MétaCan
Menu
Back to cohort
Record W31430003 · doi:10.1115/1.802908.paper67

The Layered Insulation Model and Mean Apparent Thermal Conductivity of an Environmental Friendly Polyurethane Foam at Low Temperatures

2009· book-chapter· en· W31430003 on OpenAlexaboutno aff
Chenghao Yang, X. Gao, Nan Zhang, Xue Shao

Bibliographic record

VenueASME Press eBooks · 2009
Typebook-chapter
Languageen
FieldMaterials Science
TopicPolymer composites and self-healing
Canadian institutionsnot available
Fundersnot available
KeywordsThermal conductivityPolyurethaneMaterials scienceComposite materialBlowing agentThermal insulationThermalVacuum insulated panelHeat transferThermodynamics

Abstract

fetched live from OpenAlex

A new environmental friendly polyurethane(PU) foam with blowing agent of HFC-245fa was developed in order to substitute for traditional foam with blowing agent of CFCs, which has been phased out according to Montreal protocol and subsequent treaties. But the coefficient of thermal conductivity of the new foam is not available at present when it is used for cryogenic storage tanks and pipes. In this paper, the mechanism of heat transfer in the foams was analyzed and a layered insulation model used at low temperatures was described accordingly. The mean apparent thermal conductivity under low temperature of the new PU foam, which has zero ODP, was investigated. The relationship between density and the thermal conductivity was experimentally studied. The results proved that the newly developed material had a better performance in thermal insulating system and provided a reference data when use the material under low temperatures.

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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.226
Teacher spread0.206 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueASME Press eBooksSame topicPolymer composites and self-healingFrench-language works237,207