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Record W4389584792 · doi:10.17118/11143/20637

Progress in Canadian Mechanical Engineering. Volume 6

2023· paratext· en· W4389584792 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typeparatext
Languageen
FieldEngineering
TopicMechanical Failure Analysis and Simulation
Canadian institutionsÉcole de Technologie Supérieure
FundersCompute Canada
KeywordsVolume (thermodynamics)Computer sciencePhysics

Abstract

fetched live from OpenAlex

In this study, an experimental and 3-dimensional numerical analysis of a thermosiphon heat pipe (THP) using two-phase fluid cycling was performed to model the heat transfer process by evaporation and condensation. R404A refrigerant was chosen as the working fluid for the THP and 50% of the evaporator section was filled with the working fluid. Numerical analysis was performed using ANSYS FLUENT program and VOF method. In the meantime, in order to model the evaporation and condensation process successfully, a UDF code written in C was used and introduced to the fluent program. As a result of the study, it was seen that the temperature values obtained from the experimental and numerical analysis for the evaporator and condenser parts of the THP were in good agreement. As a result of the numerical analyzes carried out in 3D, the contours of the evaporation and condensation process and the heat transfer process are presented visually. The analysis took a total of 200 seconds.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.728
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0070.024

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 head0.010
GPT teacher head0.227
Teacher spread0.217 · 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