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Record W2523582194 · doi:10.1109/icma.2016.7558680

Dynamic electro-thermal modeling of V- and Z-shaped electrothermal microactuator

2016· article· en· W2523582194 on OpenAlexaff
Zhuo Zhang, Yueqing Yu, Xinyu Liu, Xuping Zhang

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced MEMS and NEMS Technologies
Canadian institutionsMcGill University
Fundersnot available
KeywordsMicroactuatorActuatorTransient (computer programming)Boundary value problemControl theory (sociology)Finite element methodThermalTransient responseSteady state (chemistry)Heat fluxVoltageDynamic simulationMechanicsMechanical engineeringEngineeringComputer scienceHeat transferPhysicsStructural engineeringSimulationMathematicsElectrical engineeringMathematical analysisThermodynamics

Abstract

fetched live from OpenAlex

This paper presents a dynamic electro-thermal model for the V- and Z-shaped electrothermal microactuator for the first time. The model predicts the dynamic temperature responses of the actuator operating in vacuum conditions with constant input voltage applied at both ends. Dynamics of the temperature distribution are established, and the exact solution of the hybrid partial differential equation (PDE) is obtained to describe the electro-thermal behavior for each segment of the actuator. To solve the PDE, the final temperature responses are intentionally decomposed into two parts, i.e., the steady-state and transient responses. In addition to the initial and boundary conditions, continuity conditions that describe the temperature and heat flux density between adjacent segments of the actuator are employed to solve the hybrid PDE. The validation of the model is conducted by finite-element simulations using ANSYS software (version 14.0). The analytical results based on the proposed model well agree with the numerical results with ANSYS analysis in terms of predictions on both steady-state and transient responses. Along with the line-shaped beam model, this proposed model serves as the first sub-model in establishing the complete dynamic electro-thermal-mechanical model for the V- and Z-shaped actuators. The developed modeling method paves the way in improving the design and optimizing the dimensions of the actuator in achieving better static and dynamic performances.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.160
Threshold uncertainty score0.268

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 head0.005
GPT teacher head0.200
Teacher spread0.195 · 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 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

Citations13
Published2016
Admission routes1
Has abstractyes

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