All Outputs (13)

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.

A New Thermal Elasto-Hydrodynamic Lubrication Solver Implementation in OpenFOAM (2023)
Journal Article

Designing effective thermal management systems within transmission systems requires simulations to consider the contributions from phenomena such as hydrodynamic lubrication regions. Computational fluid dynamics (CFD) remains computationally expensiv... Read More about A New Thermal Elasto-Hydrodynamic Lubrication Solver Implementation in OpenFOAM.

Feature importance in machine learning models: A fuzzy information fusion approach (2022)
Journal Article

With the widespread use of machine learning to support decision-making, it is increasingly important to verify and understand the reasons why a particular output is produced. Although post-training feature importance approaches assist this interpreta... Read More about Feature importance in machine learning models: A fuzzy information fusion approach.

Towards a more reliable interpretation of machine learning outputs for safety-critical systems using feature importance fusion (2021)
Journal Article

When machine learning supports decision-making in safety-critical systems, it is important to verify and understand the reasons why a particular output is produced. Although feature importance calculation approaches assist in interpretation, there is... Read More about Towards a more reliable interpretation of machine learning outputs for safety-critical systems using feature importance fusion.

Machine learning to determine the main factors affecting creep rates in laser powder bed fusion (2021)
Journal Article

There is an increasing need for the use of additive manufacturing (AM) to produce improved critical application engineering components. However, the materials manufactured using AM perform well below their traditionally manufactured counterparts, par... Read More about Machine learning to determine the main factors affecting creep rates in laser powder bed fusion.

Analysis of the tribological interaction of a polytetrafluoroethylene-lined radial lip oil seal, shaft and lubricant sample (2021)
Journal Article

To investigate the tribological interaction and wear mechanisms of polytetrafluoroethylene-lined radial lip oil seals in service, a sleeve, seal and lubricant sample taken off a rotating rig are studied. The test was terminated at 72 h, after severe... Read More about Analysis of the tribological interaction of a polytetrafluoroethylene-lined radial lip oil seal, shaft and lubricant sample.

Seal Failure In Aerospace Applications -- Creating A Global Open-source Database (2021)
Journal Article

Seal failure in aerospace applications-creating a global open-source database Seals are essential components used in numerous applications across engineering. A seal is a component that impedes the flow of fluid through a given system. The word 'impe... Read More about Seal Failure In Aerospace Applications -- Creating A Global Open-source Database.

An Experimental Study of Contact Temperatures at Sealing Interface against Varying Shaft Surfaces (2021)
Journal Article

Increased temperatures at the sealing interface between the seal and shaft can reduce the working life of a seal through elastomer aging, swelling and increased friction. Degradation of the seal due to increased temperatures can cause pre‐mature fail... Read More about An Experimental Study of Contact Temperatures at Sealing Interface against Varying Shaft Surfaces.

Experimental study of radial lip seals with different sleeve coatings (2020)
Journal Article

Radial Lip Seals with pre-loaded garter springs of 8.5oz, 12.5oz and 14oz are tested with 4 different sleeves to investigate various seal-sleeve combinations. To find optimum sleeve coating and seal combinations, leakage and performance is investigat... Read More about Experimental study of radial lip seals with different sleeve coatings.

Heat Transfer of Couette Flow in Micro-channels: an Analytical Model of Seals (2020)
Conference Proceeding

Analytical solutions of the temperature profile of a fluid in a Couette flow between two parallel plates are reported. The upper plate moves in the direction of the flow with a constant velocity and the lower plate is stationary, to simulate the cond... Read More about Heat Transfer of Couette Flow in Micro-channels: an Analytical Model of Seals.

Deep Learning with Dynamically Weighted Loss Function for Sensor-Based Prognostics and Health Management (2020)
Journal Article

Deep learning has been employed to prognostic and health management of automotive and aerospace with promising results. Literature in this area has revealed that most contributions regarding deep learning is largely focused on the model’s architectur... Read More about Deep Learning with Dynamically Weighted Loss Function for Sensor-Based Prognostics and Health Management.

Multiphase Computational Fluid Dynamics Modeling of External Oil Flow From a Journal Bearing (2018)
Journal Article

High loads and bearing life requirements make journal bearings a potential choice for use in high power, epicyclic gearboxes in jet engines. Particularly, in a planetary configuration , the kinematic conditions are complex. With the planet gears rota... Read More about Multiphase Computational Fluid Dynamics Modeling of External Oil Flow From a Journal Bearing.

A Method Of Varying Bulk Modulus In Journal Bearings To Allow For Highly Cavitied Regions To Be Solved Using Realistic Bulk Modulus Values (2017)
Presentation / Conference