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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2021, Vol. 42 ›› Issue (3): 624590-624590.doi: 10.7527/S1000-6893.2020.24590

• Special Topic of Electric Aircraft • Previous Articles     Next Articles

Float design and take-off taxiing of electric seaplanes

ZHAO Lijie1,2, TIAN Mengwei1, LI Jingkui3, WANG Mingyang2, LIU Da2   

  1. 1. College of Aerospace Engineering, Shenyang Aerospace University, Shenyang 110136, China;
    2. Liaoning General Aviation Academy, Shenyang 110136, China;
    3. College of Civil Aviation, Shenyang Aerospace University, Shenyang 110136, China
  • Received:2020-08-03 Revised:2020-08-27 Published:2020-10-16
  • Supported by:
    Natural Science Foundation of Liaoning Province of China (20180551052)

Abstract: The law of resistance changes in the low-speed taxiing phase of the seaplane during take-off is highly important for the plane design. Whether the maximum pull required for the normal take-off of the electric seaplane matches the existing electric propulsion system has become the key to the aircraft modification design. The design for the longitudinal instability caused by the large water resistance of the reference buoy is first optimized, significantly improving the hydrodynamic performance of the buoy. Based on the Volume of Fluid (VOF) model in Fluent, numerical simulations of the mechanical characteristics of the hydroelectric aircraft during the take-off taxiing phase are then performed, mainly analyzing the law of attitude changes, resistance changes and flow field characteristics at different speeds. Finally, the electric propulsion system power required at the "resistance peak" node is verified and calculated. The existing device satisfies the power requirements for the take-off. The actual take-off roll test is compared with the simulation results, revealing that the changes in mechanical characteristics are essentially identical. With the error within 15%, the feasibility of the simulation calculation is verified, providing reference for the research and design of electric seaplanes.

Key words: electric seaplanes, float optimization, neural networks, two-phase flow, flight tests

CLC Number: