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A review and historical development of analytical techniques to predict aircraft spin and recovery characteristics

Bilal Malik (Department of Avionics Engineering, Institute of Avionics and Aeronautics, Air University, Islamabad, Pakistan)
Jehanzeb Masud (Department of Mechanical Engineering, Institute of Avionics and Aeronautics, Air University, Islamabad, Pakistan)
Suhail Akhtar (Department of Avionics Engineering, Institute of Avionics and Aeronautics, Air University, Islamabad, Pakistan)

Aircraft Engineering and Aerospace Technology

ISSN: 0002-2667

Article publication date: 10 July 2020

Issue publication date: 21 August 2020

186

Abstract

Purpose

This paper aims to present a literature review on analytical research on the prediction of aircraft spin and recovery characteristics, as it progressed from the early years of aviation to current state of the art spin technologies.

Design/methodology/approach

Aerodynamic model development approaches that have been generally used in past spin studies are presented. Past contributions in application of these analytical techniques to predict spin and recovery characteristics on various fighters, general aviation and airliners are discussed, thus providing useful reference for researchers embarking aircraft spin research. An overview of the development of spin prevention and spin recovery technologies to mitigate stall/spin susceptibility is presented.

Findings

The challenges associated with the presented techniques that prompt possible future research directions are discussed.

Originality/value

Despite considerable progress in the recent years, no comprehensive review on the analytical and computational research techniques to predict aircraft post-stall/ spin characteristics has been undertaken in the recent years.

Keywords

Acknowledgements

Funding: The author(s) received no financial support for the research, authorship and/or publication of this article.

Citation

Malik, B., Masud, J. and Akhtar, S. (2020), "A review and historical development of analytical techniques to predict aircraft spin and recovery characteristics", Aircraft Engineering and Aerospace Technology, Vol. 92 No. 8, pp. 1195-1206. https://doi.org/10.1108/AEAT-08-2019-0174

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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