All Outputs (13)

Windage Torque Reduction in Low-Pressure Turbine Cavities Part 2: Experimental and Numerical Results (2023)
Conference Proceeding

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 2: Experimental and Numerical Results.

Windage Torque Reduction in Low-Pressure Turbine Cavities - Part 1: Concept Design and Numerical Investigations (2023)
Conference Proceeding

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 1: Concept Design and Numerical Investigations.

COUPLED EULERIAN THIN FILM MODEL AND LAGRANGIAN DISCRETE PHASE MODEL TO PREDICT FILM THICKNESS INSIDE AN AERO-ENGINE BEARING CHAMBER (2022)
Conference Proceeding

In aero-engine bearing chambers, two-phase shearing flows are difficult to predict as Computational Fluid Dynamics (CFD) RANS models tend to overestimate interfacial turbulence levels, leading to inaccuracies in the modelling of the flow. Turbulence... Read More about COUPLED EULERIAN THIN FILM MODEL AND LAGRANGIAN DISCRETE PHASE MODEL TO PREDICT FILM THICKNESS INSIDE AN AERO-ENGINE BEARING CHAMBER.

High Fidelity Cfd-Trained Machine Learning To Inform Rans-Modelled Interfacial Turbulence (2022)
Conference Proceeding

In aero-engine bearing chambers, two-phase shearing flows are difficult to predict as Computational Fluid Dynamics (CFD) RANS models tend to overestimate interfacial turbulence levels, leading to inaccuracies in the modelling of the flow. Turbulence... Read More about High Fidelity Cfd-Trained Machine Learning To Inform Rans-Modelled Interfacial Turbulence.

Numerical simulation of multi-scale oil films on a rotating cup using VOF and coupled Eulerian thin-film-dpm approaches (2022)
Conference Proceeding

In this study, the newly developed Nottingham Gas Turbine and Transmission Research Centre (G2TRC) Bearing Chamber Test Module is presented and investigated computationally. The module houses a rotating cup and shaft configuration in order to simulat... Read More about Numerical simulation of multi-scale oil films on a rotating cup using VOF and coupled Eulerian thin-film-dpm approaches.

Experimental Investigation Into Oil Shedding From a Rotating Cup Geometry (2022)
Conference Proceeding

Oil shedding from rotating components and static elements within rotating systems has a number of applications within the design and understanding of transmission systems as well as wider industrial applications. There is a reasonable body of prior r... Read More about Experimental Investigation Into Oil Shedding From a Rotating Cup Geometry.

Numerical Investigation Into Maximum Pressure Capability of Intershaft Hydraulic Seals (2022)
Conference Proceeding

Hydraulic seals are used as intershaft seals in aero-engines and consist of an oil filled trough on the higher speed shaft and a fin on the lower speed shaft that dips into the oil forming the seal. Rotation is imparted to the sealing fluid within th... Read More about Numerical Investigation Into Maximum Pressure Capability of Intershaft Hydraulic Seals.

Investigation of Droplet Shedding in an Aeroengine Bearing Chamber Using Convolutional Neural Networks (2022)
Conference Proceeding

More efficient aeroengines are needed to reduce the environmental impact of civil aviation. Design changes for increased efficiency mean that higher loads are transmitted through the bearings supporting the rotating shafts. Better bearing chamber des... Read More about Investigation of Droplet Shedding in an Aeroengine Bearing Chamber Using Convolutional Neural Networks.

Numerical characterisation of noise generated by a distributed-propulsion propeller (2022)
Conference Proceeding

The shift towards sustainable and eco-friendly future of aviation is further catalysed by the aggressive targets set by administrative and industrial stakeholders. It has emerged as one of the solutions with the potential to increase overall efficien... Read More about Numerical characterisation of noise generated by a distributed-propulsion propeller.

Predictions of falling wavy films based on the depth averaged thin film model and its application to aeroengine bearing chamber (2022)
Conference Proceeding

In the present study, the evolution of a falling wavy film with upstream forced excitation is investigated using the depth averaged thin film model, known as Eulerian Thin Film Model (ETFM). Because of the depth averaging of the governing equations,... Read More about Predictions of falling wavy films based on the depth averaged thin film model and its application to aeroengine bearing chamber.

Numerical Simulation of Multi-Scale Oil Films on a Rotating Cup Using VOF and Coupled Eulerian Thin-Film-DPM Approaches (2022)
Conference Proceeding

In this study, the newly developed Nottingham Gas Turbine and Transmission Research Centre (G2TRC) Bearing Chamber Test Module is presented and investigated computationally. The module houses a rotating cup and shaft configuration in order to simulat... Read More about Numerical Simulation of Multi-Scale Oil Films on a Rotating Cup Using VOF and Coupled Eulerian Thin-Film-DPM Approaches.

Assessment of an Enhanced Thin Film Model to Capture Wetting and Drying Behavior in an Aero-Engine Bearing Chamber (2019)
Conference Proceeding

In the present work, a wetting and drying model is coupled with Eulerian Thin-Film model (ETFM) to analyze the wetting and drying behavior inside the bearing chamber. In the enhanced model, an additional source term is included to account for the con... Read More about Assessment of an Enhanced Thin Film Model to Capture Wetting and Drying Behavior in an Aero-Engine Bearing Chamber.

Prediction of Film Thickness of an Aero-Engine Bearing Chamber using Coupled VOF and Thin Film Model (2019)
Conference Proceeding

In the present work, a coupled volume-of-fluid (VOF) model with Eulerian thin-film model (ETFM) approach is used to predict the film thickness in an aero-engine bearing chamber. Numerical studies are conducted for a wide range of shaft speeds with lu... Read More about Prediction of Film Thickness of an Aero-Engine Bearing Chamber using Coupled VOF and Thin Film Model.