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Record W2022379147 · doi:10.1243/09544070jauto1202

Numerical investigation of the influence of variable diffuser vane angles on the performance of a centrifugal compressor

2009· article· en· W2022379147 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

VenueProceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering · 2009
Typearticle
Languageen
FieldEngineering
TopicTurbomachinery Performance and Optimization
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCentrifugal compressorVoluteImpellerDiffuser (optics)Gas compressorTurbochargerRange (aeronautics)InletMechanical engineeringEngineeringMechanicsMaterials scienceOpticsPhysicsAerospace engineering

Abstract

fetched live from OpenAlex

In this study, the performance of a turbocharger compressor system for light-duty diesels, encompassing the airflow geometry from impeller inlet to volute exit, has been simulated numerically, and the effects of variable diffuser vane angles on the compressor performance and operating range have been investigated. It is found that the angle of the diffuser vane has significant influence on the compressor operating range, and optimized design of the variable diffuser vane angle can increase the stable operating range and improve the compressor efficiency significantly when compared with fixed diffuser vane angles and vaneless designs. However, changing the diffuser vane angle alone may not achieve the full control of the operating range of a compressor desired. Other technologies (e.g. variable inlet guide vanes, casing treatment, or optimum impeller design) may also be necessary to achieve the widest operating range required.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.321
Threshold uncertainty score0.450

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.005
GPT teacher head0.171
Teacher spread0.166 · 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