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Record W2579712027 · doi:10.1109/icsens.2016.7808951

Microplasma drawing of thermocouple sensors

2016· article· en· W2579712027 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
TopicAdvanced Sensor Technologies Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsThermocoupleMicroplasmaMaterials scienceMicrofabricationSubstrate (aquarium)ElectrodeOptoelectronicsTemperature measurementSputter depositionSputteringPlasmaThin filmNanotechnologyComposite materialFabricationChemistry

Abstract

fetched live from OpenAlex

This paper presents the first direct-write microfabrication of thin-film thermocouple temperature sensors enabled by controlled manipulation of micro glow plasma. The microplasma is generated at the tip of a micromachined thermocouple alloy electrode at atmospheric pressure, enabling localized sputtering deposition of the alloy on the substrate to create sensing junctions via plasma scanning over the substrate. Micropatterning of T-type (Constantan-Cu) thermocouples is demonstrated by drawing Constantan film directly on Cu-coated substrates using cylindrical target electrodes with diameters down to 50 μm. The thermoelectric behaviors of printed structures are measured to prove their thermocouple function, with a sensitivity of 39 μV/°0 that matches well with the typical T-type's coefficient. This direct-write scheme is promising for rapid, low-cost printing of micro temperature sensors, i.e., thermocouples, thermopiles and resistive temperature detectors, potentially on a variety of objects including three-dimensional components and flexible substrates.

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 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 score0.033
Threshold uncertainty score0.279

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)0.0000.000

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 head0.011
GPT teacher head0.229
Teacher spread0.218 · 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

Quick stats

Citations8
Published2016
Admission routes1
Has abstractyes

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