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Arc-Free Bidirectional Hybrid DC Switch using Tungsten or Tungsten-clad Copper Contacts

2019· article· en· W3107170940 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectrical Contact Performance and Analysis
Canadian institutionsnot available
FundersSwine Innovation Porc
KeywordsMaterials scienceCommutationVaristorTungstenElectrical engineeringArc (geometry)OptoelectronicsContact resistanceCurrent (fluid)VoltageShort circuitMetallurgyComposite materialEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

A hybrid DC switch has been studied intensively because of the increasing demand for photovoltaic power stations and DC power distribution systems. The hybrid DC switch, consisting of mechanical contacts, semiconductor devices, and metal-oxide varistors, has the advantages of low contact resistance, high-speed current interruption, and a short-duration arc during current commutation. Moreover, arc-free current interruption is possible if the boiling voltage of the contact material exceeds the circuit voltage needed for turning on the semiconductor devices. A combination of tungsten contacts and SiC-MOSFETs satisfies this condition. As a result, an arc-free current interruption of 220 A was achieved with two-pole-tungsten contacts for bidirectional DC switching, where two SiC-MOSFETs were connected in series. The newly developed tungsten-clad copper contacts increased the threshold current of arc-free commutation up to 260 A.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.757
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)0.0020.001

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 head0.014
GPT teacher head0.222
Teacher spread0.208 · 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