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Record W2085318297 · doi:10.1115/imece2010-39542

Piezo-Actuated Active Decoupler Hydraulic Engine Mount

2010· article· en· W2085318297 on OpenAlexaff
Farbod Khameneifar, Siamak Arzanpour, Mehrdad Moallem

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicVehicle Noise and Vibration Control
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMountActuatorChassisAutomotive industryVibrationBimorphEngineeringAutomotive engineeringCantileverVoltagePiezoelectricityComputer scienceMechanical engineeringAcousticsStructural engineeringElectrical engineeringAerospace engineering

Abstract

fetched live from OpenAlex

Hydraulic mounts are widely used in the automotive industry to isolate the engine and chassis from each other. For these passive economic vibration isolators the parameter values and characteristics are fixed. As a result, they cannot properly attenuate the complicated vibration transmitted from the engine. In this paper development of a new active mount using piezoelectric materials is described. The typical decoupler of the mount has been replaced by a set of piezoelectric actuators. The actuator consists of two piezoelectric bimorph cantilevers and the beams are covered by a thin rubber layer. The actuator moves upon receiving the signal from the controller, and it changes the dynamic performance of the mount accordingly. Mathematical modeling of the active mount is derived and the simulated results are presented for different voltage signals. Simulations demonstrate the performance of the designed active engine mount to deal with complicated vibration patterns.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.004
GPT teacher head0.192
Teacher spread0.188 · 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 source (direct Gemma or distilled Codex), 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

Citations6
Published2010
Admission routes1
Has abstractyes

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