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Numerical Prediction of Thickness Influence on the Aircraft Wing Design

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Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) (AI2SD 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1104))

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Abstract

This paper deals with the numerical prediction of the Von Mises and the displacement of the swept back wing can withstand under different pressure conditions. In this study ABAQUS was used as a finite element software, with the help of CAD software Catia V5 to model and assemble each of the 3D wing components.

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References

  1. Barbero, E.J.: Finite Element Analysis of Composite Materials using Abaqus. CRC Press, Boca Raton (2013)

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  5. Material Data Sheet Aluminum 7475-T761. Aerospace Specification Metals (2015)

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Acknowledgment

The authors of this paper acknowledge the financial support by “Centre National pour la Recherche Scientifique et Technique” (CNRST) Rabat, Morocco.

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Authors and Affiliations

  1. AERO School of Engineering, LERMA Lab., International University of Rabat, Rocade Rabat-Salé, 11 100, Sala el Jadida, Morocco

    Kenza Bouchaâla, Ismail Driouch, Mustapha Faqir, Mohamad Fathi Ghanameh, Hajar Chouiyakh & Elhachmi Essadiqi

  2. Mohammadia School of Engineers, ITACS Lab., Mohammed V University, Rabat, Morocco

    Kenza Bouchaâla

  3. Department of Mechanical Conception-Faculty of Mechanical and Electrical Engineering, Damascus University, Damascus, Syria

    Mohamad Fathi Ghanameh

Authors
  1. Kenza Bouchaâla
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  2. Ismail Driouch
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  3. Mustapha Faqir
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  4. Mohamad Fathi Ghanameh
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  5. Hajar Chouiyakh
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  6. Elhachmi Essadiqi
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Corresponding author

Correspondence to Kenza Bouchaâla .

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Editors and Affiliations

  1. Faculty of Sciences and Techniques of Tangier, Abdelmalek Essaâdi University, Tangier, Morocco

    Mostafa Ezziyyani

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Bouchaâla, K., Driouch, I., Faqir, M., Ghanameh, M.F., Chouiyakh, H., Essadiqi, E. (2020). Numerical Prediction of Thickness Influence on the Aircraft Wing Design. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2019). AI2SD 2019. Advances in Intelligent Systems and Computing, vol 1104. Springer, Cham. https://doi.org/10.1007/978-3-030-36671-1_42

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