Session: 13-11 Advanced Methods (II)

Paper Number: 127546

127546 - Numerical Demonstration for a Novel Design of High-Temperature Turbine Facility Enabled by Shock Tube 

Reproducing the working environment of a gas turbine blade in laboratory has long been a challenge in the state of the art, but is crucial for scaling data from laboratory to engine design. Specifically, simultaneous matching of Reynolds number, Mach number and turbine inlet temperature in laboratory to those of engine design condition is scarcely achieved in the academic community. As an attempt to tackle this challenge, this paper introduces a novel design of high-temperature turbine cascade, whose mainstream gas is sourced from a shock tube so that high-enthalpy environment is created at low cost. To examine the feasibility of the rig design in obtaining reliable heat transfer data, numerical simulations are conducted, verified and validated against experimental data. Numerical results demonstrate that the new rig is able to produce a mainstream gas of 589±1 K for a test time of 9.5 ms. Nusselt number obtained during the test time agrees well the experimental data in VKI’s isentropic light piston tunnel. Besides, the test duration is sufficient for a steady boundary layer to establish. Furthermore, the new rig is shown to generate a total temperature of 1810±10 K at the cascade inlet for a test time of 1 ms. However, pseudo shock wave forms under this circumstance, greatly augmenting turbulence intensity at the cascade inlet and leads to an over-predicted Nusselt number compared to the experiment. Control of turbulence intensity at the cascade inlet (shock tube outlet) is required as a scope of the future work. 

Presenting Author: Haiteng Ma Shanghai Jiao Tong University

Presenting Author Biography: Dr. Haiteng Ma is an associate professor in Shanghai Jiao Tong University. His research interest is gas turbine heat transfer, cooling and aerodynamics, as well as heat transfer experimental methods. He received ASME Turbo Expo Best Paper Award in 2016 as the first author, and has published over 20 papers in AIAA and ASME journals and conferences. He obtained PhD of Power Engineering from Shanghai Jiao Tong University in 2016 and moved on to University of Oxford as a postdoc scholar. He has also worked in Siemens Corporate Technology as a research engineer.

Authors:

Yizhi Fang Shanghai Jiao Tong University
Wei Zeng Shanghai Jiao Tong University
Haiteng Ma Shanghai Jiao Tong University