Study on a camber adaptive winglet

João Paulo Eguea, Fernando Martini Catalano, Alvaro Martins Abdalla, Leandro De Santana, Cornelis H. Venner, André Luiz Fontes Silva

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    39 Downloads (Pure)

    Abstract

    Morphing structures are devices intended to be implemented in specific parts of the aircraft such to improve some aspects of the flight such as performance and maneuverability. More specifically for the wings, the in flight capability of adaptation of airfoil profile and control surfaces bring possibility to the aircraft operate at optimum performance condition during all flight phases. Morphing structures can only lead to optimal flight maneuverability and performance conditions if the morphed geometry leads to an improved flight condition. Aiming at the reduction of the lift induced drag in all flight phases, this research focus on the application of the genetic optimization algorithm for the definition of the camber section of an winglet. This research proposes the optimization at four different flight phases namely: climb, heavy cruise, mid cruise and light cruise. BLWF – a full potential equation solver coupled with 3D boundary layer modelling – is adopted in the aerodynamic performance, e.g. lift and drag ratio, calculation. A conventional genetic algorithm is adopted in the optimization of the camber of the airfoil composing the winglet. This paper describes the optimization procedure and compares geometries showing that the in flight change of the winglet geometry can sensibly contribute to the improvement of the aircraft performance reducing the fuel consumption.

    Original languageEnglish
    Title of host publication2018 Applied Aerodynamics Conference
    PublisherAmerican Institute of Aeronautics and Astronautics Inc. (AIAA)
    ISBN (Electronic)978-1-62410-559-3
    DOIs
    Publication statusPublished - 1 Jan 2018
    Event36th AIAA Applied Aerodynamics Conference 2018 - Hyatt Regency, Atlanta, United States
    Duration: 25 Jun 201829 Jun 2018
    Conference number: 36

    Conference

    Conference36th AIAA Applied Aerodynamics Conference 2018
    Abbreviated titleAIAA 2018
    CountryUnited States
    CityAtlanta
    Period25/06/1829/06/18

    Fingerprint

    Cambers
    Maneuverability
    Aircraft
    Airfoils
    Drag
    Geometry
    Control surfaces
    Fuel consumption
    Aerodynamics
    Boundary layers
    Genetic algorithms

    Cite this

    Eguea, J. P., Catalano, F. M., Abdalla, A. M., De Santana, L., Venner, C. H., & Silva, A. L. F. (2018). Study on a camber adaptive winglet. In 2018 Applied Aerodynamics Conference [AIAA 2018-3960] American Institute of Aeronautics and Astronautics Inc. (AIAA). https://doi.org/10.2514/6.2018-3960
    Eguea, João Paulo ; Catalano, Fernando Martini ; Abdalla, Alvaro Martins ; De Santana, Leandro ; Venner, Cornelis H. ; Silva, André Luiz Fontes. / Study on a camber adaptive winglet. 2018 Applied Aerodynamics Conference. American Institute of Aeronautics and Astronautics Inc. (AIAA), 2018.
    @inproceedings{fcdc6f2e210442328cc250b4f0d622c8,
    title = "Study on a camber adaptive winglet",
    abstract = "Morphing structures are devices intended to be implemented in specific parts of the aircraft such to improve some aspects of the flight such as performance and maneuverability. More specifically for the wings, the in flight capability of adaptation of airfoil profile and control surfaces bring possibility to the aircraft operate at optimum performance condition during all flight phases. Morphing structures can only lead to optimal flight maneuverability and performance conditions if the morphed geometry leads to an improved flight condition. Aiming at the reduction of the lift induced drag in all flight phases, this research focus on the application of the genetic optimization algorithm for the definition of the camber section of an winglet. This research proposes the optimization at four different flight phases namely: climb, heavy cruise, mid cruise and light cruise. BLWF – a full potential equation solver coupled with 3D boundary layer modelling – is adopted in the aerodynamic performance, e.g. lift and drag ratio, calculation. A conventional genetic algorithm is adopted in the optimization of the camber of the airfoil composing the winglet. This paper describes the optimization procedure and compares geometries showing that the in flight change of the winglet geometry can sensibly contribute to the improvement of the aircraft performance reducing the fuel consumption.",
    author = "Eguea, {Jo{\~a}o Paulo} and Catalano, {Fernando Martini} and Abdalla, {Alvaro Martins} and {De Santana}, Leandro and Venner, {Cornelis H.} and Silva, {Andr{\'e} Luiz Fontes}",
    year = "2018",
    month = "1",
    day = "1",
    doi = "10.2514/6.2018-3960",
    language = "English",
    booktitle = "2018 Applied Aerodynamics Conference",
    publisher = "American Institute of Aeronautics and Astronautics Inc. (AIAA)",
    address = "United States",

    }

    Eguea, JP, Catalano, FM, Abdalla, AM, De Santana, L, Venner, CH & Silva, ALF 2018, Study on a camber adaptive winglet. in 2018 Applied Aerodynamics Conference., AIAA 2018-3960, American Institute of Aeronautics and Astronautics Inc. (AIAA), 36th AIAA Applied Aerodynamics Conference 2018, Atlanta, United States, 25/06/18. https://doi.org/10.2514/6.2018-3960

    Study on a camber adaptive winglet. / Eguea, João Paulo; Catalano, Fernando Martini; Abdalla, Alvaro Martins; De Santana, Leandro; Venner, Cornelis H.; Silva, André Luiz Fontes.

    2018 Applied Aerodynamics Conference. American Institute of Aeronautics and Astronautics Inc. (AIAA), 2018. AIAA 2018-3960.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    TY - GEN

    T1 - Study on a camber adaptive winglet

    AU - Eguea, João Paulo

    AU - Catalano, Fernando Martini

    AU - Abdalla, Alvaro Martins

    AU - De Santana, Leandro

    AU - Venner, Cornelis H.

    AU - Silva, André Luiz Fontes

    PY - 2018/1/1

    Y1 - 2018/1/1

    N2 - Morphing structures are devices intended to be implemented in specific parts of the aircraft such to improve some aspects of the flight such as performance and maneuverability. More specifically for the wings, the in flight capability of adaptation of airfoil profile and control surfaces bring possibility to the aircraft operate at optimum performance condition during all flight phases. Morphing structures can only lead to optimal flight maneuverability and performance conditions if the morphed geometry leads to an improved flight condition. Aiming at the reduction of the lift induced drag in all flight phases, this research focus on the application of the genetic optimization algorithm for the definition of the camber section of an winglet. This research proposes the optimization at four different flight phases namely: climb, heavy cruise, mid cruise and light cruise. BLWF – a full potential equation solver coupled with 3D boundary layer modelling – is adopted in the aerodynamic performance, e.g. lift and drag ratio, calculation. A conventional genetic algorithm is adopted in the optimization of the camber of the airfoil composing the winglet. This paper describes the optimization procedure and compares geometries showing that the in flight change of the winglet geometry can sensibly contribute to the improvement of the aircraft performance reducing the fuel consumption.

    AB - Morphing structures are devices intended to be implemented in specific parts of the aircraft such to improve some aspects of the flight such as performance and maneuverability. More specifically for the wings, the in flight capability of adaptation of airfoil profile and control surfaces bring possibility to the aircraft operate at optimum performance condition during all flight phases. Morphing structures can only lead to optimal flight maneuverability and performance conditions if the morphed geometry leads to an improved flight condition. Aiming at the reduction of the lift induced drag in all flight phases, this research focus on the application of the genetic optimization algorithm for the definition of the camber section of an winglet. This research proposes the optimization at four different flight phases namely: climb, heavy cruise, mid cruise and light cruise. BLWF – a full potential equation solver coupled with 3D boundary layer modelling – is adopted in the aerodynamic performance, e.g. lift and drag ratio, calculation. A conventional genetic algorithm is adopted in the optimization of the camber of the airfoil composing the winglet. This paper describes the optimization procedure and compares geometries showing that the in flight change of the winglet geometry can sensibly contribute to the improvement of the aircraft performance reducing the fuel consumption.

    UR - http://www.scopus.com/inward/record.url?scp=85051739811&partnerID=8YFLogxK

    U2 - 10.2514/6.2018-3960

    DO - 10.2514/6.2018-3960

    M3 - Conference contribution

    AN - SCOPUS:85051739811

    BT - 2018 Applied Aerodynamics Conference

    PB - American Institute of Aeronautics and Astronautics Inc. (AIAA)

    ER -

    Eguea JP, Catalano FM, Abdalla AM, De Santana L, Venner CH, Silva ALF. Study on a camber adaptive winglet. In 2018 Applied Aerodynamics Conference. American Institute of Aeronautics and Astronautics Inc. (AIAA). 2018. AIAA 2018-3960 https://doi.org/10.2514/6.2018-3960