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Record W1966246885 · doi:10.1115/imece2011-65030

Design of Experiment to Evaluate Thermal Resistance of a PTAC Unit

2011· article· en· W1966246885 on OpenAlexfundno aff
John C. Leylegian, Mohammad H. Naraghi, S. Montoni, M. Kaszczak, V. Garafolo

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Optimization
Canadian institutionsnot available
FundersPetroleum Technology Alliance Canada
KeywordsThermocoupleThermalHeat transferConvectionThermal resistanceNatural convectionMaterials scienceForced convectionNuclear engineeringMechanicsComposite materialThermodynamicsEngineeringPhysics

Abstract

fetched live from OpenAlex

As a part of the “Design of Experiment” component of Thermal/Fluids Laboratory (MECH405) at Manhattan College, a setup for measuring the R-value of an Evergreen Products Model KHS-09 PTAC unit was designed by a student group. The setup consisted of the PTAC unit installed in a well insulated wall. A thermally controlled hot chamber (which simulated a hot outdoor environment) was built around the exterior side of the wall and PTAC assembly. The interior side was exposed to the lab air temperature (typically at 70°F). Thermocouples were installed on various surfaces of the setup and temperature history data were collected in order to calculate the R-value of the PTAC under different imposed temperature gradients and convection heat transfer environments. ANOVA analysis of the data showed that the R-value of the PTAC was influenced by the convective environment (free versus forced convection), and while outdoor temperature did not directly influence the R-value, an interaction existed between temperature and convection.

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: none
Teacher disagreement score0.849
Threshold uncertainty score0.452

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 head0.066
GPT teacher head0.258
Teacher spread0.193 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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