2016
DOI: 10.2514/1.c033247
|View full text |Cite
|
Sign up to set email alerts
|

Propulsion Theory of Flapping Airfoils: Comparison with Computational Fluid Dynamics

Abstract: It is shown that the time-dependent aerodynamic forces acting on a flapping airfoil in forward flight are functions of both axial and normal reduced frequencies. The axial reduced frequency is based on the chord length, and the normal reduced frequency is based on the plunging amplitude. Furthermore, the time-dependent aerodynamic forces are related to two Fourier coefficients, which are evaluated here from computational results. Correlation equations for these Fourier coefficients are obtained from a large nu… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2017
2017
2017
2017

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 12 publications
0
1
0
Order By: Relevance
“…The method is simple to setup and run, but showed limited accuracy when applied to wings that exhibit larger flapping amplitudes by Mazaheri and Ebrahimi [17]. Hunsaker and Phillips have compared Theodorsen's model to computational fluid dynamics simulation results, revealing that the basic Delaurier model formulation provides reasonable results in lower flapping frequencies [18]. A dynamic stall approximation by Kim et al exhibits improved prediction accuracy for cases of larger angles of attack [19].…”
Section: Introductionmentioning
confidence: 99%
“…The method is simple to setup and run, but showed limited accuracy when applied to wings that exhibit larger flapping amplitudes by Mazaheri and Ebrahimi [17]. Hunsaker and Phillips have compared Theodorsen's model to computational fluid dynamics simulation results, revealing that the basic Delaurier model formulation provides reasonable results in lower flapping frequencies [18]. A dynamic stall approximation by Kim et al exhibits improved prediction accuracy for cases of larger angles of attack [19].…”
Section: Introductionmentioning
confidence: 99%