Yizhi Liu
Cell: 607-***-**** Email: acy3hs@r.postjobfree.com
AEROSPACE ENGINEER
Specializing in Computational Fluid Dynamic(CFD), Multidisciplinary Design Optimization(MDO), Python and C++
Able to design and develop high-order CFD solver and optimization algorithm from scatch independently
Talented engineer with 4-year of design and optimization experience on commercial aircraft and vehicle
Dual degree in Computer Science, proficiency in Python, C++, Matlab. java EDUCATION
University of Michigan, Ann Arbor, Michigan, USA
Master of Science in Aerospace Engineering, GPA: 3.9/4.0 Sep 2016-Present Bachelor of science in Aerospace Engineering, Major GPA: 3.85/4.0 Sep 2013-May 2015 Shanghai Jiao Tong University, Shanghai, China
Bachelor of science in Electrical and Computer Engineering (ECE), GPA: 3.5/4.3 Sep 2011- Aug 2015 WORK EXPERIENCE
Graduate Researcher Hyundai-Kia Motor Group & University of Michigan Jul 2016-Present
Developed and implemented overset method for structured mesh of DrivAer geometry to capture geometrical features and generate ground boundary condition for CFD simulation in Python
Simulated and analyzed flow and sensitivity map using RANS equation and adjoint method
Implemented gradient-based optimization algorithm to optimize aerodynamic shape of DrivAer geometry rear end, using free-form deformation volume approach to apply deformation to the surface mesh, decrease the drag coefficient of generic DrivAer geometry by 5.32% Junior Design Assistant Commercial Aircraft Corporation of China (COMAC) Aug 2015-May 2016
CFD simulation for wing root fairing of next generation narrow-body twin-engine jet airliner
Interpreted and analyzed data from simulation in Matlab and summarize for improvement, improve lift coefficient by 0.2% with 0.01% drag coefficient dropping Research Assistant Active Aeroelasticity and Structures Research Lab sponsored by Boeing May 2014-Aug 2014
Conducted wind tunnel test for modular fairing and ground vibration test to improve the X- HALE aircraft(UAV) which is being developed as a low cost platform to capture unique coupled nonlinear aeroelasticity/flight dynamics interactions in very flexible aircraft
Designed and programmed real-time visualization system in C++ to assist pilot to control, system shows UAV wing deformation, yaw and pitch angle then computes optimized control parameters RESEARCH EXPERIENCE
High-order Compressible Subsonic Flow Solver Using Finite Volume Method Aug 2016-Jan 2017
Developed high-order compressible subsonic flow solver using finite volume method in Python
Implemented multigrid solution technique to improve efficiency for large mesh size
Developed detailed post-process script specifically for three-element airfoil Aircraft Design Sep 2014-Feb 2015
Designed, optimized a long-haul airliner with an objective of minimizing cash operating cost
Evaluated design trade-offs and implement MDO, troubleshot optimization algorithm
Unconventional canard with rear embedded engines design was created and widely recognized Effects of Planform Geometry and Pivot Axis Location on the Pitching Wings Sep 2014-Jan 2015
Conducted experiment of wings with different axis locations and shapes rotating in water tunnel
Compareed experimental and theoretical aerodynamic forces and flow development of wings TECHNICAL SKILLS
Programming (6 years’ experience): Python, C++, Java, Matlab CAD Software (4 years’ experience): Solidworks, NX, AutoCAD, CATIA V5 CAE Software (4 years’ experience): STAR-CCM+, OpenFOAM, ICEMCFD, Abaqus