Peng Wu Email and Phone Number

Focus on research and teaching. Major interests includes biofluids, turbomachinery, and artificial heart.

Working on CFD, applied to Biomedical Engineering

Worked as a research associate in the fluids group in KU Leuven. The focus of the research is wall-modeled LES.

My doctoral research aims at developing a robust large eddy simulation (LES) technique for high-Reynolds-number wall-bounded flows. My research activities can be summarized as: Participated in the development of a parallel in-house LES code FLOWAVE using MPI and FORTRAN. Invented a conservative filtering technique to remove the odd-even decoupling. Developed a fundamental and theoretical framework as well as a self-adaptive model to solve the long persistent ‘log-layer mismatch’ for high-Re flows.  The wall-modeled LES with the new self-adaptive model has been successfully applied to channel flow and square duct flows. Future application of this techniques includes turbulent boundary layer flows and atmospheric boundary layer flows.

As a research assistant, I was supported by the German Science Foundation (DFG) with the research topic 'modeling and simulation of spray process in turbulent two-phase flows'. I proposed a modified discrete droplet model to improve the prediction of the dispersion of the droplets in turbulent gas flow field.

I was involved in the university strategic alliance (USA) program of GE Aircraft Engines, with a focus on turbomachinery CFD. Under the program, I participated in the development and validation of a 3D parallel solver for turbomachinery unsteady flows. I was responsible for the parallelization of the code and the treatment of the rotor/stator boundary as well as the validation of the flow solver in combination of a set of RANS models, including k-omega, k-g, S-A and k-epsilon models. In addition, the unsteady loss mechanism in the compressor is examined in terms of irreversibility.