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Record W3125072039 · doi:10.1139/tcsme-2020-0142

Study on a four degrees-of-freedom multi-dimensional vibration isolation platform based on a 4-UPU parallel mechanism

2021· article· en· W3125072039 on OpenAlexvenueno aff
Ying Zhang, Xiaodong Guo, Yu Shijia

Bibliographic record

VenueTransactions of the Canadian Society for Mechanical Engineering · 2021
Typearticle
Languageen
FieldEngineering
TopicVibration Control and Rheological Fluids
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsVibrationVibration isolationDamperMechanism (biology)KinematicsComputer scienceStructural engineeringSpring (device)Degrees of freedom (physics and chemistry)Base (topology)Tuned mass damperScrew theoryIsolation (microbiology)Control theory (sociology)EngineeringAcousticsPhysicsMathematicsClassical mechanicsArtificial intelligenceMathematical analysis

Abstract

fetched live from OpenAlex

A novel four degrees-of-freedom (4-DOF) multi-dimensional vibration isolation platform (MDVIP) based on a four universal–prismatic–universal (4-UPU) parallel mechanism is put forward for vibration isolation of sensitive devices. It consists of four limbs, each of which has two universal joints and a spring damper module. The kinematic model and the vibration model of the proposed MDVIP were designed and analyzed. The main dimensions of the MDVIP and the parameters of the spring damper module were determined by an optimization method to meet various design requirements and constraints. Both the virtual prototype and physical prototype of the MDVIP were designed to verify vibration isolation performance. The results of numerical calculations, simulation, and experimental studies based on vibration response analysis show that the proposed MDVIP can isolate at least 78% of the vibration from the fixed base in three axial directions and 64% of the vibration in the direction around the Z-axis. It can therefore largely attenuate disturbances to items on a moving platform.

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: Methods · Consensus signal: none
Teacher disagreement score0.937
Threshold uncertainty score0.622

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 head0.032
GPT teacher head0.220
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 teacher head, not a consensus.

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

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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueTransactions of the Canadian Society for Mechanical EngineeringSame topicVibration Control and Rheological FluidsFrench-language works237,207