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Record W2327016528 · doi:10.2495/cmem110301

Structural characterization of electro-thermally driven micro-actuators with immeasurable temperature-dependent material characteristics

2011· article· en· W2327016528 on OpenAlexaff
W. Szyszkowski, D. Hill

Bibliographic record

VenueWIT transactions on modelling and simulation · 2011
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Optimization
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsCharacterization (materials science)ActuatorMaterials scienceTemperature measurementOptoelectronicsNanotechnologyComposite materialElectrical engineeringThermodynamicsEngineeringPhysics

Abstract

fetched live from OpenAlex

Multi-cell cascaded Electro-Thermal Micro-Actuators (ETMA) made of nickel alloys are analyzed by the finite element (FE) method. The computer simulation runs over the electrical, thermal, and mechanical phases of the ETMA operations. The main challenges of modeling are discussed. Some of the material's parameters such as the electrical resistivity, thermal expansion coefficient and emission are strongly temperature dependent. Furthermore, any measurements of such dependences are complicated by a magnetic phase transition occurring in nickel within the operating range of temperature. All the properties are sensitive to a particular composition of the material. The surface convection is additionally shape-dependent and, mainly due to small dimensions of the actuators, cannot be determined experimentally with sufficient accuracy. For the above reasons the use of the material data estimated from the available literature usually does not render reliable simulations.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.479
Threshold uncertainty score0.644

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 head0.014
GPT teacher head0.184
Teacher spread0.170 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2011
Admission routes1
Has abstractyes

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