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Record W2769510574 · doi:10.1177/0021998317742477

Effect of insulation core type on thermal conductivity of sandwich structure

2017· article· en· W2769510574 on OpenAlexaff
Zheng Chen, Zhen Jia, Ning Yan

Bibliographic record

VenueJournal of Composite Materials · 2017
Typearticle
Languageen
FieldEngineering
TopicComposite Material Mechanics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMaterials scienceComposite materialThermal conductivityCore (optical fiber)Thermal insulationSandwich-structured compositePolystyrenePolyurethaneLayer (electronics)ThermalSandwich panelFinite element methodConductivityStructural engineeringPolymer

Abstract

fetched live from OpenAlex

The influence of the layer thickness on the thermal conductivity of a sandwich structure containing an insulation material as the core layer was investigated by developing a corresponding finite element model simulating the structure. The insulation core studied included expanded polystyrene foam, polyurethane and mineral wool core. It was found that an increase in the ratio of core thickness to total surface layer thickness (shelling ratio) resulted in the decrease in the thermal conductivity of the sandwich structure. This change was significant when the shelling ratio was less than one. Regression analysis was conducted to describe the relationships among shelling ratio and thermal conductivities of the sandwich structure and each of its components. The evaluation of the thermal transmittance of the window system containing the sandwich structure used in window or other building components can be more accurate and simple.

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 score0.021
Threshold uncertainty score0.505

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.014
GPT teacher head0.271
Teacher spread0.257 · 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
Published2017
Admission routes1
Has abstractyes

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