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Record W2393492547

Gliding Arc Plasma Generator Based on Laval Nozzle and Its Characteristics

2012· article· en· W2393492547 on OpenAlexaboutno aff
Yan Jian-hua

Bibliographic record

VenueGao dianya jishu · 2012
Typearticle
Languageen
FieldEngineering
TopicWelding Techniques and Residual Stresses
Canadian institutionsnot available
Fundersnot available
KeywordsWaveformNozzleVoltageArc (geometry)MechanicsVolumetric flow ratePlasmaGenerator (circuit theory)Electric arcMaterials scienceSawtooth waveElectrical engineeringAcousticsElectrodePower (physics)PhysicsEngineeringMechanical engineeringTelecommunicationsThermodynamics
DOInot available

Abstract

fetched live from OpenAlex

In order to study the physical characteristics of a new type of arc discharge plasma generated in a Laval nozzle,we studied its voltage-ampere(V-A) characteristics and movement under various flow rates of working gas(air).In order to analyze the developing process of the arc discharge plasma,we applied high-speed photographic apparatus to track and record the physical cycles of gliding arc breaking down—lengthening—the largest arc lengthening—extinguishing.The results show that frequency of mutations of the electrode voltage waveform becomes much higher with the increasing flow rate of working gas.Waveform of the current is generally stable which is similar to sine waveform,except that current mutations increase with the increasing flow rate in the breakdown condition.The maximum value of sine waveform is 0.4 A.The average voltage in half a cycle is from 629 to1347 V,and its changing trend is like the power capacity.It can be seen from the analysis that changing of flow rate influences the V-A characteristics severely,especially the voltage characteristics,and this can also be seen from the Voltage-Ampere obtained by the high-speed photographic instrument.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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 head0.014
GPT teacher head0.213
Teacher spread0.199 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2012
Admission routes1
Has abstractyes

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