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Record W2293772896 · doi:10.1139/tcsme-2008-0008

COMPARISON OF CONVENTIONAL, COHERENT-JET AND HIGH-PRESSURE COOLANT DELIVERY SYSTEMS FOR PROFILE GRINDING

2008· article· en· W2293772896 on OpenAlexaffvenue
Andrew Warkentin, Robert Bauer, Don Hartlen

Bibliographic record

VenueTransactions of the Canadian Society for Mechanical Engineering · 2008
Typearticle
Languageen
FieldEngineering
TopicAdvanced machining processes and optimization
Canadian institutionsDalhousie University
Fundersnot available
KeywordsCoolantGrindingJet (fluid)Mechanical engineeringMaterials scienceVolumetric flow rateMechanicsFlow (mathematics)PhysicsEngineering

Abstract

fetched live from OpenAlex

In this work, conventional (non-coherent), coherent-jet, and high pressure coolant delivery systems are compared for profile creep-feed grinding, under non-continuous dressing conditions. To facilitate this comparison, an analytical method of determining the available flow (coolant that hits the wheel or workpiece) was presented. The coolant delivery systems were compared for five different feed rates. At each feed rate the form error was measured using a coordinate measuring machine at five cross sections along the workpiece. The high-pressure coolant delivery system had the lowest form error and had an available flow of only 1.7 L/min. The non-coherent jet had the second best form error and had an available flow of 17 L/min. The coherent jet had the highest form error with an available flow of 39 L/min.

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: none
Teacher disagreement score0.952
Threshold uncertainty score0.380

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 head0.018
GPT teacher head0.230
Teacher spread0.212 · 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

Citations5
Published2008
Admission routes2
Has abstractyes

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