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Record W110832695

Multi-component blade load measurements on a propeller in ice

2003· article· en· W110832695 on OpenAlexvenueno aff
Corwyn Moores, Brian Veitch, Neil Bose, Stephen Jones, J.S. Carlton

Bibliographic record

VenueNPARC · 2003
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPropellerDynamometerThrustStructural engineeringEngineeringBlade pitchSkewBlade (archaeology)Marine engineeringTorqueOpen waterDrive shaftTurbineMechanical engineering
DOInot available

Abstract

fetched live from OpenAlex

Two highly skewed controllable pitch model propellers were tested in both open water and ice covered water in an ice tank. Both propellers had the same skew and root angle of attack but were manufactured with two different pitch distributions. The open water and ice experiments were both done at four different pitch settings, each over a range of advance coefficients. The ice strength and the depth cut into the ice by the propeller were varied in the tests. The main aims of the experiments were to measure the effects of these variables on blade loads, in addition to their effects on shaft loads, and to compare the effect of pitch distribution on these. Shaft loads were measured using conventional dynamometry. Loads on one blade were measured using a six component hub-mounted blade dynamometer designed and built for these tests. The blade dynamometer is described and shaft and blade load measurements are presented and discussed. It was discovered that in certain conditions the individual blade experienced bending moments, thrust and torque loads that were on the order of ten times the mean cycle load during the ice milling event.

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)0.001
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: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.040
GPT teacher head0.228
Teacher spread0.189 · 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

Citations25
Published2003
Admission routes1
Has abstractyes

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Same venueNPARCSame topicArctic and Antarctic ice dynamicsFrench-language works237,207