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THERMAL ENERGY STORAGE THROUGH MELTING OF A COMMERCIAL PHASE-CHANGE MATERIAL IN A HORIZONTAL CYLINDRICAL ANNULUS

2018· article· en· W2810909611 on OpenAlexaff
Mainul Hasan, Latifa Begum

Bibliographic record

VenueEnhanced heat transfer/Journal of enhanced heat transfer · 2018
Typearticle
Languageen
FieldEngineering
TopicPhase Change Materials Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsPhase-change materialMaterials scienceAnnulus (botany)ThermodynamicsMechanicsHeat transferNusselt numberThermal energy storageSubcoolingNatural convectionThermalTube (container)Composite materialPhysicsReynolds numberTurbulence

Abstract

fetched live from OpenAlex

A transient two-dimensional numerical model was developed to investigate the melting characteristics of an impure phase-change material (PCM) embedded between two concentric circular horizontal cylinders. The modeled transport equations were suitably nondimensionalized and were solved numerically in their primitive variables form on a staggered grid arrangement employing a control-volume finite difference method. The selected PCM melts over a temperature range. To easily account for the latter aspect in the model, an enthalpy-porosity–based fixed grid scheme was used to solve the convection-diffusion mushy region phase-change problem. The inner cylindrical tube was heated to a constant temperature by a heat transfer fluid while the outer tube was insulated. Timewise evolutions of the temperature distributions are presented. Various quantities such as the average Nusselt number over the inner tube surface, the total melt fraction, and the total cumulative stored energy, all as a function of the melting time, are reported for three inner wall temperatures and for an initially saturated solid PCM as well as for a subcooled condition of 10°C of the PCM. The predicted results show that the melting rate increases rapidly up to the melting time of about 41.18 min. After this time the melting rate increases but at a considerably slower rate. The storage of thermal energy increases with the increase of the inner wall temperature and initial temperature of the solid PCM. The energy charged is greatly influenced by the change of the inner tube wall temperature compared to the change of the initial solid PCM temperature.

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)0.001
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 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 score0.160
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.045
GPT teacher head0.306
Teacher spread0.261 · 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.

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

Citations13
Published2018
Admission routes1
Has abstractyes

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