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Record W2069352580 · doi:10.1088/0957-4484/17/6/023

Modelling of nanoparticle formation during spray pyrolysis

2006· article· en· W2069352580 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.

Bibliographic record

VenueNanotechnology · 2006
Typearticle
Languageen
FieldEngineering
TopicParticle Dynamics in Fluid Flows
Canadian institutionsCanada Research ChairsUniversity of Toronto
FundersNational Science Council
KeywordsMaterials scienceEvaporationPyrolysisNanoparticleSpray pyrolysisParticle sizeMechanicsParticle (ecology)Chemical engineeringThermodynamicsNanotechnologyThin filmPhysics

Abstract

fetched live from OpenAlex

A mathematical model for the evaporation of micro- and nano-sized solution droplets is developed. This model is used to predict whether the particles produced by spray drying and pyrolysis are fully filled or hollow. The model includes the non-continuum effects on the droplet evaporation. This is achieved by combining an interpolation formula based on the numerical solution of the Boltzmann equation for the transition regime with the continuum based governing equations. Results show that the non-continuum effects can be significant for the evaporation of submicron and nano-sized droplets in atmospheric pressures. Correlations for the final particle size and its wall thickness in terms of reactor temperature and pressure and the initial solution concentration are developed. The predictions are in good agreement with experiments performed on the submicron zirconia particles, prepared by spray pyrolysis.

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 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 score0.061
Threshold uncertainty score0.451

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 head0.008
GPT teacher head0.184
Teacher spread0.176 · 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