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Record W4389584876 · doi:10.17118/11143/21018

Analytics of turbomachine geometry

2023· article· en· W4389584876 on OpenAlexaff
Michel Sabourin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldChemical Engineering
TopicAdvanced Combustion Engine Technologies
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsComputer scienceAnalyticsTurbomachineryComputer graphics (images)GeometryData scienceAerospace engineeringEngineeringMathematics

Abstract

fetched live from OpenAlex

For any type of reaction turbomachine, the blade geometry has the same topology and can be modeled by a single mathematical representation.This canonical representation of a blade has been implemented in the Beltrami workbench (BW) which is fully integrated into the FreeCAD modeler.The result is a geometric representation embedded in FreeCAD that allows the blade to be considered as a parametric object that can be analyzed and modified.Before any complex fluid simulation, analysis of the parametric representation of the blade profile can be useful to detect any deviation from healthy fluid behavior.This analysis can be carried out during the design but in addition, it can be carried out on an existing blade parameterized by a reverse engineering process.One effect of the use in the design of such a tool is to control the angular deviation of the fluid in a progressive manner by avoiding successions of accelerations-decelerations which are not desirable and could cause losses, cavitation, vibes.This can result in a significant gain in performance and reliability.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.011
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.004

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 head0.017
GPT teacher head0.263
Teacher spread0.245 · 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 designTheoretical or conceptual
Domainnot available
GenreMethods

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

Citations0
Published2023
Admission routes1
Has abstractyes

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