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Application of modified temperature-moisture relationships in the calculations of drying kinetics

2020· article· en· W3031410780 on OpenAlexaff
А Н Пахомов, Н. Ц. Гатапова, Tadeusz Kudra

Bibliographic record

VenueJournal of Physics Conference Series · 2020
Typearticle
Languageen
FieldEngineering
TopicRadiative Heat Transfer Studies
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMoistureKineticsThermodynamicsBoilingKinetic energyMaterials scienceChemistryComposite materialPhysics

Abstract

fetched live from OpenAlex

Abstract The paper presents a description of the modified temperature-moisture relationships, selected on the basis of the analysis of the kinetics of drying of liquid dispersed products on substrates and the methods of engineering calculation of the kinetics of drying with their application. Classification of the types of kinetic curves characterizing the change in the type of thermogram, such as a change in the angle of inclination, deformation and degeneration of the wet-bulb thermometer and boiling plateaux, allows obtaining a modified type of temperature-moisture relationships for their use in calculations of the drying kinetics. The choice of the type of temperature-moisture relationship is carried out on the basis of the solution developed by the authors of the forecast model of the kinetic curve type. The engineering method for calculating the kinetics of drying liquid dispersed products on substrates is based on solving the basic equation of drying kinetics, choosing the type of temperature-moisture relationship, calculating the coordinates of the reference points of temperature-moisture relationship, determined on the basis of the drying mode and the properties of the dried material.

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: Empirical
Teacher disagreement score0.404
Threshold uncertainty score0.255

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 head0.043
GPT teacher head0.245
Teacher spread0.202 · 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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