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Record W2508282729 · doi:10.1109/plasma.2016.7534402

High-voltage, high repetition rate nanosecond pulse generator for high-pressure non-thermal plasma generation

2016· article· en· W2508282729 on OpenAlexaff
M. D. G. Evans, J. M. Berthorson, Sylvain Coulombe

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicPlasma Applications and Diagnostics
Canadian institutionsMcGill University
Fundersnot available
KeywordsMaterials sciencePlasmaHigh voltagePulse generatorDuty cyclePulsed powerNanosecondVoltageOptoelectronicsRise timeOvervoltageElectrical engineeringLaserOpticsPhysicsEngineering

Abstract

fetched live from OpenAlex

Summary form only given. Recently, high-voltage pulsed power has received increasing attention in the fields of plasma-assisted ignition, and combustion. These applications require a high degree of disequilibrium and overvoltage to produce highly energetic electrons and molecules, which drive the plasma chemistry. Therefore, high-voltage, low duty cycle, and high frequency pulse generators are required as sources for the production of such energetic particles. A few commercial solid-state generators are available, but their introduction in research laboratory and industrial environments is hindered by their high cost. In this contribution we present the development of a low cost high-voltage, high frequency pulse generator used for the production of atmospheric pressure air plasmas. The generator is equipped with short-circuit protection to withstand operation in harsh electrical environments. Corona, glow and spark discharges are produced in atmospheric pressure air at voltages of tens of kilovolts and pulse repetition frequencies up to 10 kHz. Synchronized electrical diagnostics are presented and used to explain the generator's operating principles. Imaging and optical emission spectroscopy results are presented to assess the level of disequilibrium in the plasma. Results show that low gas temperatures can be maintained, all the while achieving high electronic and vibrational temperatures in species such as nitrogen. Also, results show that the generator is robust, and capable of operating in short-circuit mode for extended periods of time without any observed damage to the pulse generator.

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 categoriesInsufficient payload (model declined to judge)
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 score0.043
Threshold uncertainty score0.999

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)0.0020.000

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 head0.013
GPT teacher head0.240
Teacher spread0.227 · 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.

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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