Xiangyu Meng
Nanjing University of Aeronautics and Astronautics
Title: Three-dimensional Burning
Surface Spatiotemporal Distribution Prediction Technology for
Wheel-shaped Hybrid Rocket Motors
Abstract:
The
wheel-shaped hybrid rocket motor has the advantages of large
thrust and continuous adjustability, which meets the demand for
intelligent control of the power system of the new generation of
air and aerospace vehicles. In order to realize the intelligent
control of the motor, it is necessary to grasp the real-time
performance of the motor, so it is necessary to carry out the
numerical simulation research considering the dynamic change of
the combustion surface, but the three-dimensional combustion
surface spatio-temporal distribution is very complex, and the
existing model is difficult to realize the accurate prediction
of the combustion surface and performance, which seriously
restricts the development of the motor performance prediction
technology. Therefore, to carry out the wheel-shaped hybrid
rocket motor three-dimensional combustion surface
spatio-temporal distribution prediction technology research has
an important application value. This paper establishes a
three-dimensional dynamic numerical simulation model of
wheel-shaped hybrid rocket motor, adopts the dynamic mesh
technology based combustion surface prediction model and coupled
with the discrete Laplace operator mesh smoothing method,
completes the prediction of three-dimensional combustion surface
spatial-temporal distribution of the wheel-shaped grain, and
systematically analyzes the three-dimensional combustion surface
spatial-temporal distribution and the change of performance
parameters. This paper realizes the dynamic change of the
combustion surface of wheel-shaped hybrid rocket motor, which
provides a reference for the development of performance
prediction technology of other complex fuel shape in hybrid
rocket motors.
Bio:
Associate
Professor at the College of Astronautics,
Nanjing University of Aeronautics and Astronautics. The main
research focus includes advanced aerospace power system design,
rotating detonation rocket engines, and hybrid rocket motors. He
serves as a professional member of the International Deep Space
Exploration Society, China Society of Astronautics, and Chinese
Society of Aeronautics and Astronautics. He also holds editorial
positions as a Young Editorial Board Member for Nano Micro
Letters and Exploration, as well as for the Journal of National
University of Defense Technology. He has published 30+ papers in
reputable journals and conferences, including Aerospace Science
and Technology, Chinese Journal of Aeronautics, and Acta
Astronautica, and won the Wu Zhonghua Award for Outstanding
Doctoral Dissertation by the Chinese Society of Engineering
Thermophysics in 2025.
Mingliang Bai
Beihang University
Title: Three-dimensional Burning
Surface Spatiotemporal Distribution Prediction Technology for
Wheel-shaped Hybrid Rocket Motors
Abstract:
The
wheel-shaped hybrid rocket motor has the advantages of large
thrust and continuous adjustability, which meets the demand for
intelligent control of the power system of the new generation of
air and aerospace vehicles. In order to realize the intelligent
control of the motor, it is necessary to grasp the real-time
performance of the motor, so it is necessary to carry out the
numerical simulation research considering the dynamic change of
the combustion surface, but the three-dimensional combustion
surface spatio-temporal distribution is very complex, and the
existing model is difficult to realize the accurate prediction
of the combustion surface and performance, which seriously
restricts the development of the motor performance prediction
technology. Therefore, to carry out the wheel-shaped hybrid
rocket motor three-dimensional combustion surface
spatio-temporal distribution prediction technology research has
an important application value. This paper establishes a
three-dimensional dynamic numerical simulation model of
wheel-shaped hybrid rocket motor, adopts the dynamic mesh
technology based combustion surface prediction model and coupled
with the discrete Laplace operator mesh smoothing method,
completes the prediction of three-dimensional combustion surface
spatial-temporal distribution of the wheel-shaped grain, and
systematically analyzes the three-dimensional combustion surface
spatial-temporal distribution and the change of performance
parameters. This paper realizes the dynamic change of the
combustion surface of wheel-shaped hybrid rocket motor, which
provides a reference for the development of performance
prediction technology of other complex fuel shape in hybrid
rocket motors.
Bio:
Dr. Mingliang Bai is currently a Postdoctoral Research Fellow at
Beihang University, China. He received his Ph.D degree in
Aerospace Propulsion Theory and Engineering from Beihang
University in 2025. His research focuses on superconducting
electric machine systems, integrated energy management, and
hydrogen-powered aircraft. He has authored over 20 peer reviewed
journal and conference papers, published in Int. J. Hydrog.
Energy, Chin. J. Aeronaut., and Green Energy Intell. Transp.,
and participated in ten national and provincial research
projects. Dr. Bai acts as a regular reviewer for numerous
international journals and conferences. His academic honor
includes the Science and Technology Progress Award of China
Electrotechnical Society.
