Windage Torque Reduction in Low-Pressure Turbine Cavities Part II: Experimental and Numerical Results

Jackson, Richard W.; Li, Zhihui; Christodoulou, Loizos; Ambrose, Stephen; Sangan, Carl M.; Jefferson-Loveday, Richard; Lock, Gary D.; Scobie, James A.

doi:10.1115/1.4063876

All Outputs (3)

A machine learning-driven approach to predicting thermo-elasto-hydrodynamic lubrication in journal bearings (2024)
Journal Article

Traditional methods of evaluating the performance of journal bearings, for example thermal-elastic-hydrodynamic- lubrication theory, are limited to simplified conditions that often fail to accurately model real-world components. Numerical models that... Read More about A machine learning-driven approach to predicting thermo-elasto-hydrodynamic lubrication in journal bearings.

Windage Torque Reduction in Low-Pressure Turbine Cavities Part I: Concept Design and Numerical Investigations (2024)
Journal Article

The windage torque on rotational walls has negative effect on the performance of the low pressure turbine. In this paper, three novel flow control concepts (FCCs) were proposed to reduce the windage torque within a turbine stator well, with upstream... Read More about Windage Torque Reduction in Low-Pressure Turbine Cavities Part I: Concept Design and Numerical Investigations.

Windage Torque Reduction in Low-Pressure Turbine Cavities Part II: Experimental and Numerical Results (2024)
Journal Article

Minimizing the losses within a low-pressure turbine (LPT) system is critical for the design of next-generation ultra-high bypass ratio aero-engines. The stator-well cavity windage torque can be a significant source of loss within the system, influenc... Read More about Windage Torque Reduction in Low-Pressure Turbine Cavities Part II: Experimental and Numerical Results.