Computational study on the aerodynamic interference between tandem rotors and nearby obstacles

Tan, J. F., Cai, J. G., Barakos, G. , Wang, C. and Huang, M. Q. (2020) Computational study on the aerodynamic interference between tandem rotors and nearby obstacles. Journal of Aircraft, 57(3), pp. 456-468. (doi: 10.2514/1.C035629)

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Abstract

The tandem rotor/ground-obstacle interference problems that occur during landing operations produce high pilot workloads. In this study, a vortex-based aerodynamic solver is employed to investigate the flowfields and air loads of a tandem rotor near ground obstacles. The unsteady air loads of the multirotors are simulated using a panel method, and the wake of the tandem rotor is modeled by a vortex particle method. A viscous boundary model accounts for the effects of surrounding obstacles. The method is applied to a 1/56th-scaled model of a CH-47D operating near the ground, and the results are compared with those from experiments. The rotor-induced inflow predicted by the numerical model compares reasonably well with the experimental data. Contrary to a tandem rotor operating without obstacles, the rotor wake is deflected by the ground and the obstacle, generating recirculation. As opposed to single forward and aft rotors, the aerodynamic interactions of tandem rotors reduce the lift in the rotor-overlapped region, changing the strength of the recirculation near the ground and obstacles. The starboard side experiences stronger recirculation and a greater decrease in tandem rotor thrust because the rotational directions of the tandem rotor yield a stronger outwash on the starboard side.

Item Type:Articles
Additional Information:This work was supported by the Natural Science Foundation of Jiangsu Province (grant no. BK20161537), the National Science Key Laboratory Foundation (grant no. 6142220180202), the Rotor Aerodynamics Key Laboratory Foundation (grant no. RAL20180303-1), and the National Natural Science Foundation of China (grant no. 11502105).
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Barakos, Professor George
Authors: Tan, J. F., Cai, J. G., Barakos, G., Wang, C., and Huang, M. Q.
College/School:College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
Journal Name:Journal of Aircraft
Publisher:American Institute of Aeronautics and Astronautics
ISSN:0021-8669
ISSN (Online):1533-3868
Published Online:27 January 2020

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