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Record W1988105258 · doi:10.1115/1.2345391

Mechanics and Dynamics of the Circular Milling Process

2006· article· en· W1988105258 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.193
Threshold uncertainty score0.216

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 head0.003
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