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Record W1988105258 · doi:10.1115/1.2345391

Mechanics and Dynamics of the Circular Milling Process

2006· article· en· W1988105258 on OpenAlexaff
Nimet Kardes, Yusuf Altıntaş

Bibliographic record

VenueJournal of Manufacturing Science and Engineering · 2006
Typearticle
Languageen
FieldEngineering
TopicAdvanced machining processes and optimization
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsVibrationEngineeringAirframeMachiningMechanical engineeringCylinderProcess (computing)Finite element methodMechanism (biology)Intersection (aeronautics)TrajectoryStructural engineeringComputer sciencePhysicsAcousticsAerospace engineering

Abstract

fetched live from OpenAlex

Circular milling operations are used to enlarge die and mold cavities, cylinder bores and machine airframe pockets. The tool attached to the rotating spindle follows a circular trajectory with a machining feed rate, while gradually moving forward in the direction of global axis with a step over feed. This paper presents the mathematical model of chip removal mechanism by predicting time varying cutter-part intersection as the cutter travels along the circular path. The vibration free cutting forces are predicted and experimentally verified. The dynamics of the process are modeled by considering vibrations of the end mill in two directions. The chatter stability of circular milling is modeled both in frequency domain and with a numerical model based on time finite element analysis which considers time varying immersion and directional factors. The resulting stability solutions are compared against experimental results.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.005

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 studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.003
GPT teacher head0.183
Teacher spread0.180 · 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

Citations57
Published2006
Admission routes1
Has abstractyes

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