Helicopter brownout - can it be modelled?

Catriona Phillips, Richard Brown, Hyo Wan Kim

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

Significant progress has been made to date in modelling, computationally, the formation and development of the dust cloud that forms in the air surrounding the rotorcraft under brownout conditions. Modern computational methods are able to replicate not only the development of the dust cloud in appropriate operational scenarios, but also the sensitivity of the shape and density of the dust cloud to the detailed design of the rotorcraft. Results so far suggest that
attempts to ameliorate brownout by aerodynamic means, for instance by modifying the rotor properties, will be frustrated to some extent by the inherent instability of the flow field that is produced by the helicopter. Nonetheless, very recent advances in understanding the fundamental mechanisms that lead to the formation of the dust cloud may allow substantial progress to be made once certain elements of the basic physics of the problem are more fully understood and better quantified.

Fingerprint

Helicopter
Helicopters
Dust
Computational methods
Aerodynamics
Computational Methods
Rotor
Flow Field
Flow fields
Physics
Rotors
Scenarios
Air
Modeling

Keywords

  • computer modelling
  • helicopter brownout
  • rotorcraft design

Cite this

Phillips, C., Brown, R., & Kim, H. W. (2011). Helicopter brownout - can it be modelled? Aeronautical Journal, 115(1164), 123-133.
Phillips, Catriona ; Brown, Richard ; Kim, Hyo Wan. / Helicopter brownout - can it be modelled?. In: Aeronautical Journal. 2011 ; Vol. 115, No. 1164. pp. 123-133.
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Phillips, C, Brown, R & Kim, HW 2011, 'Helicopter brownout - can it be modelled?' Aeronautical Journal, vol. 115, no. 1164, pp. 123-133.

Helicopter brownout - can it be modelled? / Phillips, Catriona; Brown, Richard; Kim, Hyo Wan.

In: Aeronautical Journal, Vol. 115, No. 1164, 02.2011, p. 123-133.

Research output: Contribution to journalArticle

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AU - Brown, Richard

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N2 - Significant progress has been made to date in modelling, computationally, the formation and development of the dust cloud that forms in the air surrounding the rotorcraft under brownout conditions. Modern computational methods are able to replicate not only the development of the dust cloud in appropriate operational scenarios, but also the sensitivity of the shape and density of the dust cloud to the detailed design of the rotorcraft. Results so far suggest that attempts to ameliorate brownout by aerodynamic means, for instance by modifying the rotor properties, will be frustrated to some extent by the inherent instability of the flow field that is produced by the helicopter. Nonetheless, very recent advances in understanding the fundamental mechanisms that lead to the formation of the dust cloud may allow substantial progress to be made once certain elements of the basic physics of the problem are more fully understood and better quantified.

AB - Significant progress has been made to date in modelling, computationally, the formation and development of the dust cloud that forms in the air surrounding the rotorcraft under brownout conditions. Modern computational methods are able to replicate not only the development of the dust cloud in appropriate operational scenarios, but also the sensitivity of the shape and density of the dust cloud to the detailed design of the rotorcraft. Results so far suggest that attempts to ameliorate brownout by aerodynamic means, for instance by modifying the rotor properties, will be frustrated to some extent by the inherent instability of the flow field that is produced by the helicopter. Nonetheless, very recent advances in understanding the fundamental mechanisms that lead to the formation of the dust cloud may allow substantial progress to be made once certain elements of the basic physics of the problem are more fully understood and better quantified.

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Phillips C, Brown R, Kim HW. Helicopter brownout - can it be modelled? Aeronautical Journal. 2011 Feb;115(1164):123-133.