Associate Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Main positions:Deputy Director of Aircraft Department for Undergraduate Teaching
Other Post:Head of Aeronautic Innovation Practice Centre; Academic Advisor of Beihang Aeromodelling Team; Associate Member of "Aerospace Knowledge" Editorial Board
I. Aircraft Conceptual Design
(1) Aerodynamic Analysis Software Development
VLM513 is a software suite for aircraft aerodynamic and stability/control analysis based on the
Vortex Lattice Method (VLM). Developed in MATLAB, the entire source code is released here as
open-source. The primary development work was completed during my doctoral studies, and
the software is currently updated on an irregular basis. While VLM513 initially referenced Tomas
Melin's "Tornado" in its early stages, years of continuous development and refinement have
resulted in over 90% of the current code being distinct from the original Tornado. Key
improvements over Tornado include:
① Enhanced computational speed. Improved data structures have increased the calculation speed
when solving for multiple states;
② More convenient input interfaces. Calculation targets can be defined via text files or imported
from CATIA;
③ Improved numerical stability. The processing logic for calculating downwash at points near vortex
lines was modified to enhance stability. Additionally, the aerodynamic calculation method for control
surface deflection was revised to ensure continuous aerodynamic changes from neutral to a specific
deflection angle;
④ Increased calculation accuracy in specific cases. Placing vortex lattices on the mean camber surface
rather than the chordal plane has improved accuracy when dealing with high-camber airfoils. The
inclusion of side-edge vortex analysis has significantly improved aerodynamic calculation accuracy
when the aircraft is in a sideslip;
⑤ Added stability and control analysis functions. The software can calculate stability and control
derivatives and conduct longitudinal/lateral-directional modal characteristic analysis by integrating
inertia information from the input files.
This software can be used for learning aerodynamics courses as well as for aircraft conceptual design
and optimization. The main interface is in English; for ease of use and learning, critical parts of the code
include Chinese comments. Every algorithm has its scope and limitations; users must analyze the
correctness of the results based on their own knowledge. The developer assumes no responsibility for
any consequences arising from the use of the software.
Learning Tip: The Vortex Lattice Method is an aerodynamic algorithm based on solving linearized
potential flow equations. Since potential flow does not account for viscosity, it cannot analyze
viscosity-related effects, such as skin friction drag or flow separation. Because induced drag is
generated by the deflection of the lift direction under the influence of downwash, it can be solved
via VLM. The zero-lift drag in VLM is solved using the equivalent skin friction method introduced in
Raymer's Aircraft Design: A Conceptual Approach, which is an engineering approximation method.

Verification Case for Solver Accuracy (Validated against NASA TM 4640 data)

Publications
on Improved Vortex Lattice Method [J]. Journal of Nanjing University of Aeronautics & Astronautics, 2014,
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(2) Parametric Representation Methods for Aircraft Airfoils
In the aircraft design process, aerodynamic optimization is a task that spans from conceptual to
detailed design. Airfoil parameterization is the foundation for completing aerodynamic optimization;
on one hand, it determines the coverage of the design optimization search range relative to the actual
design space, and on the other hand, it significantly impacts the nonlinearity and continuity of the
optimization problem at the mathematical level. A key goal of airfoil parameterization is to
mathematically represent the airfoil curve as accurately as possible using fewer parameters.
This research group has proposed an Improved Geometric Parameter (IGP) airfoil parameterization
method. By separately describing the camber and thickness distributions, this method achieves a
parametric description of the airfoil using only 8 variables (comparison with other methods is shown
in Table 2.1). The variables used in this method are easily linked to general airfoil description methods
in aerodynamic research, making it easier to guide and analyze the airfoil optimization process using
aerodynamic design experience. Furthermore, because this method decouples the description of
camber and thickness, it is convenient for use in aerodynamic solvers based on potential flow theory
(such as VLM). In this context, aerodynamic optimization can be focused solely on the camber curve,
as thin airfoil theory suggests that the lift characteristics of a wing at small angles of attack are primarily
determined by its camber. To verify this method, the research group performed fittings using airfoils
from the Profili database; the fitting accuracy was excellent, as detailed in the published paper linked
below.
Table 2.1 Comparison of each method's number of parameters.

Publications
[1] Xiaoqiang L, Jun H, Lei S, et al. An improved geometric parameter airfoil parameterization method
[J]. Aerospace Science and Technology, 2018, 78: 241-247.