MétaCan
Menu
Back to cohort
Record W2094455826 · doi:10.5589/q06-016

Time-Accurate Flow Simulations Past Helicopter Rotors in Hover and Forward Flight Conditions Using Chimera Grid Technique

2006· article· en· W2094455826 on OpenAlexfundvenueno aff
Mahmoud Mamou, M. Khalid

Bibliographic record

VenueCanadian aeronautics and space journal · 2006
Typearticle
Languageen
FieldEngineering
TopicComputational Fluid Dynamics and Aerodynamics
Canadian institutionsnot available
FundersMinistère de la Défense Nationale
KeywordsComputational fluid dynamicsInviscid flowAerospace engineeringShock waveRotor (electric)Shock (circulatory)MechanicsTurbulenceWind tunnelMach numberEngineeringPhysicsMechanical engineering

Abstract

fetched live from OpenAlex

A study of time-accurate flow simulations past a two-bladed helicopter rotor was performed for hover and forward flight conditions, assuming inviscid compressible flow. The study was focused on the validation of the commercial CFD-FASTRAN solver for helicopter flow simulations using a moving Chimera grid technique. The flow field consisted of structured multi-block overlapped grids. For validation, the well-known wind tunnel model of the Caradonna and Tung two-blade rotor was considered. Two rotor flow configurations were studied. The first one concerned a lifting rotor in hover at two rotational speeds. The lower rotational speed produced a subsonic flow over the blades; however, the higher rotational speed induced a strong shock wave near the blade tips. The second configuration corresponded to a non-lifting rotor in forward flight in which a shock wave was present on the blade-tip region on the advancing side of the rotor. For the two rotor flow configurations, the numerical results showed that the locations of the shock waves were fairly well predicted and the pressure coefficient comparisons with the available CFD and experimental data showed very good agreement.

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 score0.031
Threshold uncertainty score0.986

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 head0.004
GPT teacher head0.195
Teacher spread0.191 · 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

Citations1
Published2006
Admission routes2
Has abstractyes

Explore more

Same venueCanadian aeronautics and space journalSame topicComputational Fluid Dynamics and AerodynamicsFrench-language works237,207