Hong Kong23: Dr. Shenren Xu

CFD Workshop: Plenary Keynote Speaker

Plenary Keynote Title
Revisiting the verification and validation of turbomachinery CFD codes

Abtract:
There are mixed views regarding the accuracy and reliability of turbomachinery RANS CFD codes. Some believe they are sufficiently predictive and adequate enough to use them to perform flow mechanism analysis or even product designs; while others doubt CFD codes have contributed at all in the actual value creation process. The aircraft CFD community, however, has a much more converged view on their CFD tools. In this talk, I will share my understandings on how RANS CFD codes should be verified and validated, drawing experiences from the aircraft CFD community as well as the famous AGARD Report #335, and point on unique difficulties associated with turbomachinery flow simulations, supplemented by results and analysis from a recent V&V effort in our group using both in-house and commercial solvers on a wide range of external and internal flow test cases.

Dr. Shenren Xu

Dr Shenren Xu is currently an associate professor in the school of power and energy of the Northwestern Polytechnical University. Through various collaborative projects with Rolls-Royce, Airbus, DLR, MHI, AECC, Huawei and etc. on CFD methods development and application over the past 15 years, he has accumulated extensive experience in developing aircraft and turbomachinery nonliear and linear RANS CFD codes at both the research and production levels.
 
After joining the Northwestern Polytechnical University, he has pioneered and strongly advocated the use of Newton-Krylov algorithms for nonlinear, adjoint, and eigenvalue-based global stability analyses for turbomahinery aerodynamics.
Dr Shenren Xu is currently an associate professor in the school of power and energy of the Northwestern Polytechnical University

Dr. Shenren Xu

Associate Professor
School of Power and Energy
Northwestern Polytechnical University

 

Our location

With team members spread across the globe, the core team is based in Zurich Switzerland.

m

Landis + Gyr-Strasse 1, 6300 Zug