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Record W2011549547 · doi:10.1002/tee.20434

Numerical Simulation of Solid Particle Ablation in Thermal Plasmas using CIP‐VOF Method

2009· article· en· W2011549547 on OpenAlexaff
Yasunori Tanaka, J. Mostaghimi

Bibliographic record

VenueIEEJ Transactions on Electrical and Electronic Engineering · 2009
Typearticle
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsVolume of fluid methodMechanicsMaterials scienceParticle (ecology)AblationCompressibilityFlow (mathematics)PlasmaThermalFinite volume methodThermodynamicsPhysicsAerospace engineeringEngineeringGeology

Abstract

fetched live from OpenAlex

Abstract Numerical modeling was performed for ablation processing of a solid particle in a thermal plasma flow. The model is based on Constrained Interpolation Propagation–Combined and Unified Procedure (CIP–CUP) method, which can simulate incompressible and compressible flows and then the multiphase flow. Furthermore, the volume of fraction (VOF) function was introduced to track the surface of the solid during ablation. Using that developed model, the ablation process of a polyethylene particle was simulated in a thermal plasma flow. Results show that ablation occurs more strongly at the particle's upstream surface, thereby producing strong gas flow. © 2009 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.551
Threshold uncertainty score0.623

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.248
Teacher spread0.240 · 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 designSimulation or modeling
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

Citations1
Published2009
Admission routes1
Has abstractyes

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