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Record W1532222644 · doi:10.1109/plasma.1989.166166

A numerical simulation of the production of ultrafine particles in a thermal plasma reactor

2003· article· en· W1532222644 on OpenAlex
Pierre Proulx, Jean‐François Bilodeau

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

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicCoagulation and Flocculation Studies
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsArgonFlow (mathematics)Particle (ecology)PlasmaDistribution (mathematics)ThermalPopulationParticle-size distributionMechanicsPhysicsMaterials scienceStatistical physicsParticle sizeChemistryThermodynamicsAtomic physicsMathematicsMathematical analysisPhysical chemistryNuclear physics

Abstract

fetched live from OpenAlex

Summary Form only given, as follows. The problem of describing the evolution of the particle size distribution is considered. The authors use a statistical model, and they describe the evolution of the moments of the distribution instead of the distribution itself. Applying a macroscopic population balance to the moments equations leads to the formulation of conservation equations in terms of the moments of the distribution. Using psi -z coordinates reduces the problem to a one-dimensional problem in the direction of a stream line. This procedure is applicable when the ultrafine particles do not cross the stream lines, so that their lateral mobility is small with respect to the flow. The calculated temperature and average ultra-fine-particle diameter fields are presented for a simplified case, where a hot flow of argon with 10% iron vapor at 4000 K mixes with a pure argon flow at 2000 K.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.347
Threshold uncertainty score0.592

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)0.0010.000

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 head0.023
GPT teacher head0.249
Teacher spread0.226 · 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

Quick stats

Citations1
Published2003
Admission routes1
Has abstractyes

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