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Record W3011026986 · doi:10.1109/esw41045.2019.9024719

ARC Flash Pressure Door Ejection Measurement

2019· article· en· W3011026986 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectrical Fault Detection and Protection
Canadian institutionsKinectrics (Canada)
Fundersnot available
KeywordsDoorsArc flashArc (geometry)WeldingElectric arcComputer scienceMechanical engineeringEngineeringElectrical engineeringElectrodePhysics

Abstract

fetched live from OpenAlex

The effects of arc blasts pressures have been looked at theoretically for several years but the direct effect to workers, is harder to quantify. A search of the literature does not give any satisfactory quantification for worker danger [1]. Most of the published work focuses on the theory and how to contain or shunt the thermal energy using arc resistant equipment, which is to be applauded. However, most of the equipment in industry is not arc resistant so research on the true extent of the hazard is critical. Most papers, to date, with any worker focus, have measured or predicted noise levels for auditory damage, but there is still no consensus standard or unified method to predict the pressure or thermoacoustic blast created by an arc. The authors explored the effect of copper and steel vapor on arc flash in a 2016 paper [1] which also looked at the speed of an ejected door. That paper evaluated several quantified methods of promising prediction and chose the Crawford-Clark-Doughty [2] paper which correlated well with the paper's test measurements [1]. Crawford-Clark-Doughty predicted that the shear strength of a door's hinge or bolts could be used to predict the force on the door and subsequently on the worker if the door is blown off by the pressure from the arc event. The previous paper [1] had the weakness of not addressing additional build up of pressure should the door be affixed, as real doors are, so this paper chooses two means to affix the door with a light gauge mounting hardware and a heavy gauge mounting hardware. These represent two different levels of shear strength to assess the effect of allowing pressure to build on the force of the door. Additionally, an impact plate and a load cell is used to measure the actual force from the ejected door to estimate the effect on a human worker. More work will need to be done to develop a model but these measurements may lead toward a productive means to develop a model. Note that the literature and anecdotal evidence does not indicate many arc blast injuries and the authors know of no fatalities. It is important to understand if, and, when severe injuries could occur. With the removal of the 40 cal/cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> limit to arc flash exposure in the new 2018 NFPA 70E [3], there is a need to understand where a limit could be needed for worker safety and what fault current and containment size could be dangerous until most equipment is arc resistant.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.793
Threshold uncertainty score1.000

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)0.0010.001

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 head0.010
GPT teacher head0.197
Teacher spread0.187 · 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