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Record W2909539303 · doi:10.1109/tmech.2019.2891069

A New Temperature Transducer for Local Temperature Compensation for Piezoresistive 3-D Stress Sensors

2019· article· en· W2909539303 on OpenAlexafffund
Mohammed O. Kayed, Amr A. Balbola, Walied A. Moussa

Bibliographic record

VenueIEEE/ASME Transactions on Mechatronics · 2019
Typearticle
Languageen
FieldEngineering
TopicAdvanced MEMS and NEMS Technologies
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPiezoresistive effectTransducerMaterials scienceStress (linguistics)Test fixtureCompensation (psychology)Atmospheric temperature rangeAcousticsBendingTemperature measurementOptoelectronicsComposite materialMechanical engineeringEngineeringPhysics

Abstract

fetched live from OpenAlex

In this paper, a new temperature transducer using full-circular n-type piezoresistor over (111) silicon plane is proposed as an accurate solution for local temperature compensation for piezoresistive three-dimensional (3-D) stress sensors. Analytical study, in this paper, showed that the proposed n-type full-circular piezoresisor over (111) has near-zero response under 3-D state of stress. As an experimental verification, a test device with n-type piezoresistive stress sensing elements oriented over (111) plane at 0° and 90° to crystallographic direction [1̅10] was microfabricated to test the capability of the proposed temperature compensator. The test device was subjected to a uniaxial load up to 50 MPa using a loading rig with four-point bending fixture. The testing was performed over a temperature range of 0-50 °C. The results showed that the proposed temperature transducer has a linear response to temperature excitation. The fabricated transducer is capable of accurately capturing the local temperature changes with maximum absolute error of ±0.8 °C. This compensation system is advantageous for piezoresistive stress/strain sensors, since the temperature transducer has the same thermal environment with the stress/strain-sensing rosette. Moreover, this technique does not require additional circuitry on the sensing device itself.

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.777
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 integrity0.0000.001
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 head0.007
GPT teacher head0.220
Teacher spread0.214 · 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 teacher head, not a consensus.

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

Citations14
Published2019
Admission routes2
Has abstractyes

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