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Record W2769304450 · doi:10.1115/1.4038573

Dynamics of Multipoint Thread Turning—Part II: Application to Thin-Walled Oil Pipes

2017· article· en· W2769304450 on OpenAlexafffund
Mohammad Rezayi Khoshdarregi, Yusuf Altıntaş

Bibliographic record

VenueJournal of Manufacturing Science and Engineering · 2017
Typearticle
Languageen
FieldEngineering
TopicAdvanced machining processes and optimization
Canadian institutionsUniversity of British ColumbiaUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of CanadaSandvik Coromant
KeywordsThreading (protein sequence)Thread (computing)VibrationShell (structure)Structural engineeringDiscretizationMaterials scienceMechanicsEngineeringMechanical engineeringAcousticsPhysicsMathematics

Abstract

fetched live from OpenAlex

This paper extends the general threading model developed in Part I to the case of thin-walled workpieces. Structural behavior of a cylindrical shell is dominated by the low-damped flexural modes. Due to the circumferential patterns of the shell modes, the cutting forces result in different instantaneous displacements around the circumference of the workpiece. The residual shell vibrations can affect the chip thickness when the corresponding point arrives at the cutting region. In this paper, the workpiece surface is discretized, and the instantaneous shell deformations due to the cutting forces are evaluated. The dynamic equation of motion for threading thin-walled workpieces is derived, and the stability and surface location errors are analyzed. The proposed threading model is validated experimentally on real-scale oil pipes for different pass numbers and infeed values. Sample approaches for chatter suppression are demonstrated experimentally.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.165
Threshold uncertainty score0.419

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 communication0.0000.001
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 head0.006
GPT teacher head0.226
Teacher spread0.220 · 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

Citations13
Published2017
Admission routes2
Has abstractyes

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