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Record W4395108880 · doi:10.1016/j.est.2024.111516

An experimental investigation of constrained melting of a phase change material (PCM) in circular geometries, part I: Velocity characterization

2024· article· en· W4395108880 on OpenAlexafffund
Kyle Teather, Kamran Siddiqui

Bibliographic record

VenueJournal of Energy Storage · 2024
Typearticle
Languageen
FieldEngineering
TopicPhase Change Materials Research
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMechanicsParticle image velocimetryMaterials scienceEnclosureSubcoolingBuoyancyHeat transferConvectionPhase-change materialTransient (computer programming)VortexCharacterization (materials science)Flow (mathematics)ThermodynamicsPhase changePhysicsEngineeringTurbulenceNanotechnology

Abstract

fetched live from OpenAlex

This study is focused on the detailed characterization of the transient velocity fields of a phase change material (PCM) enclosed in a geometry with a circular cross-section subjected to uniform external heating. Particle image velocimetry (PIV) was used to study the velocity behavior related to the buoyancy-driven convection. The PCM was initially subcooled, and the walls suddenly heated to exceed the melting temperature. Experiments were conducted using Rubitherm RT26 in a quasi-2D circular enclosure at three applied heating conditions. Detailed velocity fields show strong symmetric convective vortices at the sides of the PCM chamber, and a three-dimensional recirculation was detected near the bottom. These structures strongly influence the melting behavior. The results suggest self-similarity in flow behavior between heating conditions. Detailed transient temperature fields and an extended discussion of the associated heat transfer behavior are presented in the companion paper (Part II).

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)0.001
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: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.055
GPT teacher head0.302
Teacher spread0.247 · 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

Citations7
Published2024
Admission routes2
Has abstractno

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