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Record W2048672006 · doi:10.1115/imece2007-42593

Modeling of the Screw-Nut Interface Dynamics of Ballscrew Drives

2007· article· en· W2048672006 on OpenAlexafffund
Chinedum E. Okwudire, Yusuf Altıntaş

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMechanics and Biomechanics Studies
Canadian institutionsUniversity of British Columbia
FundersUniversity of British Columbia
KeywordsNutTorsional vibrationTorqueInterface (matter)VibrationStructural engineeringStatorMechanism (biology)Mechanical engineeringComputer scienceEngineeringMechanicsPhysicsAcoustics

Abstract

fetched live from OpenAlex

One aspect of ballscrew drives that requires a great deal of attention when modeling is the interface between the ballscrew and nut. This is because it plays an important role in the transmission of motion, vibrations and forces from the ballscrew to the table. Current models of the screw-nut interface consider only the axial and/or torsional deflections of the ballscrew while assuming that the lateral deformations of the ballscrew are decoupled from its torsional and axial deformations so cannot be transmitted through the screw-nut interface to the table. This paper however develops a model for the screw-nut interface that considers the lateral deformations of the ballscrew in addition to its axial and torsional deformations. The result of the modeling shows that, contrary to the aforementioned assumptions, the torsional, axial and lateral deformations of the ballscrew are coupled through the screw-nut interface. Therefore a torque applied to the ballscrew via the motor actually gives rise to lateral deformations on the ballscrew which could both affect its fatigue life and potentially the positioning accuracy of the ballscrew drive. These findings are verified by experiments on a single-axis ballscrew drive.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.835
Threshold uncertainty score0.221

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 head0.010
GPT teacher head0.213
Teacher spread0.203 · 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

Citations2
Published2007
Admission routes2
Has abstractyes

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