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Record W2110255072 · doi:10.1149/2.0121509jss

Mathematical Modeling of Pulsed Electron Beam Induced Heating and Sublimation in Graphite

2015· article· en· W2110255072 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

VenueECS Journal of Solid State Science and Technology · 2015
Typearticle
Languageen
FieldEngineering
TopicPulsed Power Technology Applications
Canadian institutionsLaurentian University
Fundersnot available
KeywordsSublimation (psychology)Materials scienceVaporizationAtomic physicsElectronCathode rayGraphiteAblationBeam (structure)Thermal conductionPulse durationOpticsPhysicsLaserThermodynamicsNuclear physicsComposite material

Abstract

fetched live from OpenAlex

A one-dimensional heat conduction model is presented to describe the heating and sublimation of a graphite target upon interaction with a polyenergetic electron beam. The beam delivers intense electron pulses of ∼100 ns in width with energies up to 15 keV and an electric current of ∼400 A. The electron beam efficiency and Knudsen layer just above the target surface during ablation are taken into account in the model. The effect of the distance between the electron beam tube output and target surface on ablation is assessed as well. The temperature distribution, surface receding velocity, ablation depth, and ablated mass per unit area are numerically simulated. For an efficiency factor of 0.6, the results indicate that the target surface can reach up to 7500 K at around two-thirds of the pulse duration. The onset of surface vaporization occurs within 30 ns from the pulse start. Under the same process conditions, the calculated ablated mass is about 3.8 μg/mm2. The estimated ablated mass per unit area is in good agreement with experimental data for an efficiency factor of 0.6. Available theoretical data on beam energy efficiency are in good accordance with the results of the current model corresponding to an efficiency of 0.6.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.739
Threshold uncertainty score0.285

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.015
GPT teacher head0.267
Teacher spread0.252 · 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