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A New Thermal Elasto-Hydrodynamic Lubrication Solver Implementation in OpenFOAM (2023)
Journal Article
Layton, J., Rothwell, B. C., Ambrose, S., Eastwick, C., Medina, H., & Rebelo, N. (2023). A New Thermal Elasto-Hydrodynamic Lubrication Solver Implementation in OpenFOAM. Lubricants, 11(7), Article 308. https://doi.org/10.3390/lubricants11070308

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
Rengasamy, D., Mase, J. M., Kumar, A., Rothwell, B., Torres, M. T., Alexander, M. R., …Figueredo, G. P. (2022). Feature importance in machine learning models: A fuzzy information fusion approach. Neurocomputing, 511, 163-174. https://doi.org/10.1016/j.neucom.2022.09.053

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
Rengasamy, D., Rothwell, B. C., & Figueredo, G. P. (2021). Towards a more reliable interpretation of machine learning outputs for safety-critical systems using feature importance fusion. Applied Sciences, 11(24), Article 11854. https://doi.org/10.3390/app112411854

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
Sanchez, S., Rengasamy, D., Hyde, C. J., Figueredo, G. P., & Rothwell, B. (2021). Machine learning to determine the main factors affecting creep rates in laser powder bed fusion. Journal of Intelligent Manufacturing, 32(8), 2353–2373. https://doi.org/10.1007/s10845-021-01785-0

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
Shabbir, S., Garvey, S. D., Dakka, S. M., Rothwell, B. C., Su, R., Leach, R., & Weston, N. (2022). Analysis of the tribological interaction of a polytetrafluoroethylene-lined radial lip oil seal, shaft and lubricant sample. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 236(1), 123-143. https://doi.org/10.1177/13506501211005876

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
Shabbir, S., Garvey, S., Rothwell, B., & Dakka, S. (2021). Seal Failure In Aerospace Applications -- Creating A Global Open-source Database. Sealing Technology, 2021(2), 7-9. https://doi.org/10.1016/S1350-4789%2821%2900076-3

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
Shabbir, S., Garvey, S. D., Dakka, S. M., & Rothwell, B. C. (2021). An Experimental Study of Contact Temperatures at Sealing Interface against Varying Shaft Surfaces. Coatings, 11(2), Article 156. https://doi.org/10.3390/coatings11020156

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
Shabbir, S., Garvey, S. D., Dakka, S. M., & Rothwell, B. C. (2020). Experimental study of radial lip seals with different sleeve coatings. Sealing Technology, 2020(3), 5-10. https://doi.org/10.1016/S1350-4789%2820%2930091-X

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
Shabbir, S., Garvey, S. D., Dakka, S. M., & Rothwell, B. C. (2020). Heat Transfer of Couette Flow in Micro-channels: an Analytical Model of Seals

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
Rengasamy, D., Jafari, M., Rothwell, B., Chen, X., & Figueredo, G. P. (2021). Deep Learning with Dynamically Weighted Loss Function for Sensor-Based Prognostics and Health Management. Sensors, 20(3), https://doi.org/10.3390/s20030723

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.

An Intelligent Toolkit for Benchmarking Data-Driven Aerospace Prognostics (2019)
Conference Proceeding
Rengasamy, D., Mase, J. M., Rothwell, B., & Figueredo, G. P. (2019). An Intelligent Toolkit for Benchmarking Data-Driven Aerospace Prognostics. In 2019 IEEE Intelligent Transportation Systems Conference (ITSC) (4210-4215). https://doi.org/10.1109/ITSC.2019.8917115

© 2019 IEEE. Machine Learning (ML) has been largely employed to sensor data for predicting the Remaining Useful Life (RUL) of aircraft components with promising results. A review of the literature, however, has revealed a lack of consensus regarding... Read More about An Intelligent Toolkit for Benchmarking Data-Driven Aerospace Prognostics.

Multiphase Computational Fluid Dynamics Modeling of External Oil Flow From a Journal Bearing (2018)
Journal Article
Berthold, M., Morvan, H., Jefferson-Loveday, R., Young, C., Rothwell, B. C., & Ambrose, S. (2019). Multiphase Computational Fluid Dynamics Modeling of External Oil Flow From a Journal Bearing. Journal of Engineering for Gas Turbines and Power, 141(5), 1-12. https://doi.org/10.1115/1.4041517

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.

Multiphase CFD modeling of external oil flow from a journal bearing (2018)
Conference Proceeding
Berthold, M., Morvan, H., Jefferson-Loveday, R., Rothwell, B. C., & Young, C. (2018). Multiphase CFD modeling of external oil flow from a journal bearing. In ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition. Volume 1. Aircraft engines, Fans and blowers, Marine. https://doi.org/10.1115/GT2018-77130

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 rotatin... Read More about Multiphase CFD modeling of external oil flow from a journal bearing.