Ou, Kui

Ou, Kui

Affiliation: Stanford University

Academic degree: PhD Candidate in Aerospace Engineering

Email: ouk@stanford.edu

Phone: +1 (650) 497 4620

Address: Aerospace Computing Lab Aeronautics and Astronautics, 358 Durand Building, Stanford University

PhD Candidate, Aeronautics and Astronautics Department, Stanford University, AIAA Student Member
Advisor: Professor Antony Jameson

Education:

Professional Experience:

CV:

www.stanford.edu/~ouk/

Publications related to GridPro:

  • Further Studies of Airfoils Supporting Non-unique Solutions in Transonic Flow

    Jameson A., Vassberg J.C., Ou K.

    Published in 2011

    Non-unique solutions of the Euler equations were originally discussed by Jameson in 1991 for several highly cambered airfoils which were the result of aggressive shape optimization. In 1999 Hafez and Guo found non-unique solutions for a symmetric parallel sided airfoil, and subsequently Kuzmin and Ivanova have discovered some fully convex symmetric airfoils that provide non-unique solutions. In this article four new symmetric airfoils, all of which exhibit non-unique solutions in a narrow band of transonic Mach numbers, were studied. The first, NU4 was the result of shape optimization. The second, JF1 is an extremely simple parallel sided airfoil. The third JB1, is also parallel sided but has continuous curvature over the entire profile. The fourth, JC6, is convex and C1 continuous. CL − plots of these airfoils exhibit three branches of zero angle of attack, the P, Z and N-branches with positive, zero and negative lift respectively. At some Mach numbers no stable Z-branch could be found. When the P-branch is continued to negative in some cases there is a transition to the Z-branch, while in other cases there is a direct transition from the P to N-branch.

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  • Towards Computational Flapping Wing Aerodynamics of Realistic Configurations using Spectral Difference Method

    Ou K., Jameson A.

    Published in 2011

    In this paper high-order high-fidelity simulations of unsteady flows over flapping wings are examined. The numerical framework for the present computational flapping wings analysis is based on the high-order spectral difference (SD) scheme and a mesh deformation algorithms. The resulting method is capable of performing accurate and efficient simulations for unsteady flows over unsteady moving surfaces. This is demonstrated through several numerical experiments with increasing complexity in geometries and flow physics. The problems being studied include three-dimensional flows over an Eppler61 airfoil over a range of angles of attack at transitional Reynolds number of 46,000, and flows over an oscillating NACA0012 airfoil at Reynolds number of 40,000. In both cases three-dimensional simulations of the two-dimensional airfoils have been carried out. The numerical solver is finally applied to perform a three-dimensional flapping wing simulation of flows over a semi-complex wing-body configuration.

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  • Computational Sports Aerodynamics of a Moving Sphere: Simulating a Ping Pong Ball in Free Flight

    Ou K., Castonguay P., Jameson A.

    Published in 2011

    Fluid dynamics associated with many sports involving spheric shaped equipments such as tennis, golf and ping pong balls tends to be very unsteady and viscous, with occasionally transitional behaviors. Some of the intricate aerodynamic behaviors are the mechanisms that make these sports competitive and spectacular. In this paper we discuss using highorder method as an effective method for solving unsteady fluid dynamics pertaining to sports. In particular, we perform direct numerical simulation of unsteady viscous flow past a spinning sphere. Taking a different approach from the usual computational practice of performing simulations of fixed free-stream and fixed Reynolds number flows, we compute the flow field around the spheric body together with the dynamic motion of the body. By coupling the sphere dynamic to the aerodynamic flow, we are able to simulate the flight trajectory of the sphere in free flight and examine the effect of introducing different varieties of spin on game play. The flow solver is based on the high-order Spectral Difference method. Coupling of fluid and structure is enforce weakly by advancing the equation of motion and flow equations in time together using the explicit multi-stage Runge-Kutta scheme. We rely on the inherent numerical dissipation in the high order method to resolve transitional flow, which effectively acts as a kind of implicit Large Eddy Simulation (ILES).

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