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Record W4237252076 · doi:10.32920/ryerson.14645931

Aerodynamic aspects in the development of morphing winglet for a regional aircraft

2021· preprint· en· W4237252076 on OpenAlexaff
Prakash Paudel

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicAeroelasticity and Vibration Control
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsWingtip deviceMorphingStall (fluid mechanics)WingBending momentDragLift-induced dragAerodynamicsStructural engineeringPitching momentLift-to-drag ratioCamber (aerodynamics)Aerospace engineeringEngineeringAngle of attackComputer science

Abstract

fetched live from OpenAlex

An aerodynamic analysis is conducted for morphing winglets on a regional aircraft. The optimum drag, bending moment, stall angle and maximum lift coeffcient are evaluated for various mission segments by varying winglet design parameters. Aero-elastic studies are conducted in order to incorporate wing deformation effects in addition to exploring maneuver load alleviation capability of the morphing winglet. The results show drag benefit up to 1% in cruise and wing bending moment and winglet bending moment benefits of 2.4% and 63% at 2.5g symmetric maneuver conditions. The total aircraft drag benefit translates to additional allowable structural weight that can be applied to the design of winglet actuation system. The morphing winglet shows superior stall behavior and attenuates high wing loads. The estimated wing-winglet loads will help in proper selection of actuators. This study is also expected to help in elevating technology readiness level of the morphing winglet technology.

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: none
Teacher disagreement score0.729
Threshold uncertainty score0.500

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 head0.028
GPT teacher head0.239
Teacher spread0.211 · 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

Citations4
Published2021
Admission routes1
Has abstractyes

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