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Record W2129847949 · doi:10.4271/2014-01-1024

Thermophysical Properties Measurement of Interior Car Materials vs. Temperature and Mechanical Compression

2014· article· en· W2129847949 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSAE International Journal of Materials and Manufacturing · 2014
Typearticle
Languageen
FieldEngineering
TopicEngineering Applied Research
Canadian institutionsIntegrity Testing Laboratory (Canada)
Fundersnot available
KeywordsMaterials scienceCompression (physics)Composite materialMechanical engineeringAutomotive engineeringEngineering

Abstract

fetched live from OpenAlex

<div class="section abstract"><div class="htmlview paragraph">Thermophysical properties of materials used in the design of automotive interiors are needed for computer simulation of climate conditions inside the vehicle. These properties are required for assessment of the vehicle occupants' thermal sensation as they come in contact with the vehicle interior components, such as steering wheels, arm rests, instruments panel and seats.</div><div class="htmlview paragraph">This paper presents the results of an investigation into the thermophysical properties of materials which are required for solving the non-linear Fourier equations with any boundary conditions and taking into account materials' specific heat, volume density, thermal conductivity, and thermal optical properties (spectral and total emissivity and absorptivity). The model and results of the computer simulation will be published in a separate paper.</div><div class="htmlview paragraph">The tested materials included foam, leather/foam laminated materials, and a few plastic laminated materials, which were used in the construction of various automotive interior parts. One original aspect of this work was the testing of plastic foam samples both at a wide temperature range from −20°C to +60°C and at varying compression levels up to 60%. Such data is needed for calculation of heat conduction within occupied automotive seats which are undergoing different static and dynamic loads.</div><div class="htmlview paragraph">Thermal conductivity was determined as the product of thermal diffusivity and volume specific heat. The thermal diffusivity was measured in accordance to ASTM STP 1320, and the specific heat was measured according to ASTM E1269, both in the temperature range from −20°C to +60°C. The emissivity and absorptivity were measured according to ASTM E408 and ASTM E903, respectively at room temperature.</div><div class="htmlview paragraph">The new experimental data obtained has scientific and practical interests for thermal science and engineering applications. The thermal conductivity results of the foam materials in the wide range of temperatures and compression/deformation are of interest for the development of heat transfer mechanisms in porous media, for materials science and technology. All data together enable the development of advanced mathematical models for the design, assessment and optimization of climate conditions inside cars and other vehicles.</div></div>

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.

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 score0.002
Threshold uncertainty score0.381

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 communication0.0000.000
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 head0.012
GPT teacher head0.217
Teacher spread0.205 · 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