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Record W7164166619 · doi:10.4050/f-0079-2023-0092

S-97 RAIDER® Propulsor Flight Loads and Validation

2023· article· W7164166619 on OpenAlexaff
Daniel Schuster

Bibliographic record

Venuenot available
Typearticle
Language
FieldEnvironmental Science
TopicAdvanced Aircraft Design and Technologies
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsPropulsorWakeAerodynamicsPropellerAirframeThrustRotor (electric)Computational fluid dynamicsWind tunnelDetached eddy simulation

Abstract

fetched live from OpenAlex

The S-97 RAIDER® helicopter uses a pusher propeller to provide forward and reverse thrust capability to Sikorsky's X2 Technology™ design. Due to the propeller's aft mounting location on the aircraft it experiences aerodynamic interactions with both the airframe wake and main rotor wake across the flight envelope. This paper details the inclusion of an aerodynamic interference flow field near the propulsor disk plane in a CSD (Computational Structural Dynamics) propulsor model used to predict blade loads. The interference flow field uses either wind tunnel measurement or CFD (Computational Fluid Dynamics) to define the aerodynamic flow near the propeller plane. The predicted blade loads were compared with flight test data at a variety of steady flight conditions and overall good agreement is found between simulation and test. The simulation methodology is also expanded to simulate transient hover and acceleration conditions using a quasi-steady trim approach at multiple discrete time points of the maneuver. Overall good correlation of the measured blade maximum, minimum, and vibratory loads are achieved.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.823
Threshold uncertainty score1.000

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 studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.012

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 head0.035
GPT teacher head0.263
Teacher spread0.228 · 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; both teacher heads agree on what is shown here.

Study designOther design
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

Citations0
Published2023
Admission routes1
Has abstractyes

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