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Record W2110160823 · doi:10.1109/eit.2009.5189606

A Highly accurate method to calculate capacitance of MEMS sensors with circular membranes

2009· article· en· W2110160823 on OpenAlexaff
Md. Mosaddequr Rahman, Sazzadur Chowdhury

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced MEMS and NEMS Technologies
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsDeflection (physics)CapacitanceCapacitive sensingMaterials scienceMicroelectromechanical systemsMembraneVoltageResidual stressFinite element methodNonlinear systemMechanicsStructural engineeringOpticsPhysicsOptoelectronicsComposite materialEngineeringElectrical engineeringChemistryElectrode

Abstract

fetched live from OpenAlex

A highly accurate analytical method to calculate capacitance of MEMS capacitive type sensors with circular membranes has been presented. The method determines the center deflection of the membrane by taking account of the electrostatic pressure due to the bias voltage, external pressure, residual stress, and nonlinear spring hardening effect during large deflection. A new deflection shape function uses this center deflection to calculate a highly accurate deflection profile of the membrane which is then used to calculate the capacitance between the deformed membrane and the fixed backplate for any deformed profile of the membrane. The model has been verified by comparing the results with experimental and 3-D electromechanical finite element analysis (FEA) results with excellent agreement. The model predicted values deviate by a maximum of 2.2% for the membrane center deflection and 3.4% for capacitance values for different external pressure loading and electrostatic bias voltage.

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 score0.125
Threshold uncertainty score0.515

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 head0.012
GPT teacher head0.250
Teacher spread0.238 · 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

Citations11
Published2009
Admission routes1
Has abstractyes

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