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Record W4200194623 · doi:10.1002/9781119713173.ch6

Thermal Management with Phase Change Materials

2021· other· en· W4200194623 on OpenAlexaff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEngineering
TopicPhase Change Materials Research
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsThermalThermal energy storageHeat exchangerPhase changeThermal management of electronic devices and systemsEnvironmental scienceThermal energySolar energyProcess engineeringPhase-change materialNuclear engineeringMaterials scienceMechanical engineeringEngineering physicsMeteorologyEngineeringThermodynamicsElectrical engineering

Abstract

fetched live from OpenAlex

Thermal management systems are essential for ensuring the safety and protection against failure of electronic devices and circuits due to their excess heat generation. Phase change materials (PCMs) are often used for thermal management systems. A PCM is a substance that absorbs/releases sufficient energy upon undergoing phase transition for providing useful cooling/heating. Thermal management is required for various mechanical and industrial processes, structures, buildings, and, for that matter, even our bodies. PCMs are widely used in various thermal energy storage application areas, which include solar air heaters, solar water heaters, solar cookers, solar greenhouses, and buildings. Heat exchangers and condensers are the most commonly used components for ensuring thermal management in energy systems. The chapter presents several case studies on the application of PCMs in various thermal management systems. These case studies provide in-depth insights regarding the theoretical, numerical, and experimental analyses of thermal management systems.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.134
Threshold uncertainty score0.939

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)0.1340.000

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 head0.063
GPT teacher head0.305
Teacher spread0.243 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2021
Admission routes1
Has abstractyes

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