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Record W2952469025 · doi:10.1109/tmech.2019.2906904

Development of a Three-Degree-of-Freedom Ultrasonic Vibration Tool Holder for Milling and Drilling

2019· article· en· W2952469025 on OpenAlexaff
Jian Gao, Yusuf Altıntaş

Bibliographic record

VenueIEEE/ASME Transactions on Mechatronics · 2019
Typearticle
Languageen
FieldEngineering
TopicAdvanced machining processes and optimization
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsVibrationActuatorAcousticsUltrasonic sensorUltrasonic machiningNatural frequencyMetalworkingPiezoelectricityDrillingAmplitudeMaterials scienceMechanical engineeringEngineeringOpticsPhysicsElectrical engineering

Abstract

fetched live from OpenAlex

This paper presents a three-degree-of-freedom (3-DOF) ultrasonic vibration tool holder for milling and drilling operations. The 3-DOF vibrations are generated by a novel actuator that contains three groups of piezoelectric rings actuating in X-, Y-, and Z-directions at the natural frequencies of the structure. The vibrations in XY plane are excited at the frequency but with slightly different amplitudes to produce an elliptical locus for intermittent tool-workpiece contact, which assists milling process, and the vibrations along Z-axis are used in drilling operations. The 3-DOF ultrasonic vibration actuator excites the structure's natural frequencies, which are above 16 kHz with amplitudes up to 20-25μm. A control system has been developed for tracking the resonance frequencies during cutting from the phase of actuator's impedance. Preliminary cutting tests show that the cutting forces are reduced by over 30% with the ultrasonic vibration assisted milling and drilling operations.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.019
GPT teacher head0.227
Teacher spread0.208 · 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

Citations44
Published2019
Admission routes1
Has abstractyes

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