2017
DOI: 10.1016/j.cja.2016.12.013
|View full text |Cite
|
Sign up to set email alerts
|

Optimization and design of an aircraft’s morphing wing-tip demonstrator for drag reduction at low speed, Part I – Aerodynamic optimization using genetic, bee colony and gradient descent algorithms

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
15
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
7
2
1

Relationship

0
10

Authors

Journals

citations
Cited by 50 publications
(21 citation statements)
references
References 30 publications
0
15
0
Order By: Relevance
“…In Koreanschi et al (37) , the genetic algorithm used for the optimisation of the upper surface of the wing and for the aileron morphing was described in detail, with full parameters choices, fitness function, cross-over, mutation, convergence studies and comparisons with two other optimisation methods – the ABC and the Gradient methods. The optimisation model was found to be robust and reliable and its results were validated using experimental data.…”
Section: Shape Optimisation and Aerodynamic Analysismentioning
confidence: 99%
“…In Koreanschi et al (37) , the genetic algorithm used for the optimisation of the upper surface of the wing and for the aileron morphing was described in detail, with full parameters choices, fitness function, cross-over, mutation, convergence studies and comparisons with two other optimisation methods – the ABC and the Gradient methods. The optimisation model was found to be robust and reliable and its results were validated using experimental data.…”
Section: Shape Optimisation and Aerodynamic Analysismentioning
confidence: 99%
“…To avoid the contamination of pressure sensors, but also the negative influence on the pressure readings from the 32 Kulite sensors, the area on the upper wing surface where the two sensor lines were mounted was not coated with the paint. The measurement of the monitored surface temperature has been performed with a Jenoptik VarioCAM camera, operating at a frame rate of 30 Hz at 640 × 480 IR pixel resolution and equipped with 60 • lens to visualise the transition region over the whole upper surface of the morphing wing model (46)(47)(48)(49) . upstream and downstream fronts.…”
Section: Results Obtained During Wind-tunnel Testing Of the Morphing mentioning
confidence: 99%
“…A novel genetic algorithm useful for the optimization of the shape and of the upper surface of an airfoil by means of actuators has been presented by Koreanski et al [33]. The method was adopted for two dissimilar airfoils and the algorithm was related to two other optimization methods: gradient method and artificial bee colony.…”
Section: Sma Applications On Wingsmentioning
confidence: 99%