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Record W2559535091 · doi:10.1515/jaots-2005-0211

Soot Free Non-Thermal Plasma Reforming of Hydro Carbon Gas by Flow Stabilized Corona Discharges

2005· article· en· W2559535091 on OpenAlexaff
Jen‐Shih Chang, Y. Uchida, M.H. Majles Ara, J. T. Kim, K. Urashima, James F. Kelly, M Stanciulescu, R. Burich, Jean‐Pierre Charland

Bibliographic record

VenueJournal of Advanced Oxidation Technologies · 2005
Typearticle
Languageen
FieldMedicine
TopicPlasma Applications and Diagnostics
Canadian institutionsNatural Resources CanadaMcMaster University
Fundersnot available
KeywordsPropaneSootMethaneHydrogenCorona dischargeNonthermal plasmaVolumetric flow rateOxygenCarbon fibersPlasmaMaterials scienceAnalytical Chemistry (journal)Chemical engineeringChemistryCombustionThermodynamicsOrganic chemistryComposite materialElectrode

Abstract

fetched live from OpenAlex

Abstract In this work, soot free non-thermal plasma reforming was experimentally investigated. Experiments were conducted for gas temperatures up to 200°C, gas flow rate from 0.1 to 2 LPM and percentage mixture of oxygen to fuel gases (Propane-nitrogen) from 0 to 30%. The flow stabilized corona discharge device under pulsed corona operations will be discussed. The results show that; (1) up to 40% of propane was converted to hydrogen, ethylene, methane, propylene and ethane etc.; (2) the hydrogen selectivity is near 50% of reformed gas; (3) soot free condition can be achieved with more then 3% of oxygen in the fuel gases at 200°C. The fundamental discharge characteristics of the discharge devices and soot formation characteristics will be discussed in detail.

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 head0.006
GPT teacher head0.245
Teacher spread0.239 · 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
Published2005
Admission routes1
Has abstractyes

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