All Outputs (5)

A machine learning-driven approach to predicting thermo-elasto-hydrodynamic lubrication in journal bearings (2024)
Journal Article
Cartwright, S., Rothwell, B., Figueredo, G., Medina, H., Eastwick, C., Layton, J., & Ambrose, S. (2024). A machine learning-driven approach to predicting thermo-elasto-hydrodynamic lubrication in journal bearings. Tribology International, https://doi.org/10.1016/j.triboint.2024.109670

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.

Wall Permeability Estimation in Automotive Particulate Filters (2023)
Journal Article
Samuels, C., Holtzman, R., Benjamin, S., Aleksandrova, S., Watling, T. C., & Medina, H. (2023). Wall Permeability Estimation in Automotive Particulate Filters. SAE Technical Papers, Article 2023-24-0110. https://doi.org/10.4271/2023-24-0110

Porous wall permeability is one of the most critical factors for the estimation of backpressure, a key performance indicator in automotive particulate filters. Current experimental and analytical filter models could be calibrated to predict the perme... Read More about Wall Permeability Estimation in Automotive Particulate Filters.

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.

A new non-linear RANS model with enhanced near-wall treatment of turbulence anisotropy (2020)
Journal Article
Fadhila, H., Medina, H., Aleksandrova, S., & Benjamin, S. (2020). A new non-linear RANS model with enhanced near-wall treatment of turbulence anisotropy. Applied Mathematical Modelling, 82, 293-313. https://doi.org/10.1016/j.apm.2020.01.056

A new ω-based non-linear eddy-viscosity model is proposed. It was developed based on the original k−ω model and formulated using a quadratic stress-strain relation for the Reynolds stress tensor, with an added realisability condition. For enhanced tr... Read More about A new non-linear RANS model with enhanced near-wall treatment of turbulence anisotropy.

A Behaviour Awareness Mechanism to Support Collaborative Learning (2015)
Conference Proceeding
Medina, E., Meseguer, R., Ochoa, S. F., & Medina, H. (2015). A Behaviour Awareness Mechanism to Support Collaborative Learning. In Collaboration and Technology (95-110). https://doi.org/10.1007/978-3-319-22747-4_8

Awareness has been identified as a key element that affects the quality of collaboration. Several studies indicate that awareness mechanisms to support collaborative learning activities should include factors and stimuli from the students’ context an... Read More about A Behaviour Awareness Mechanism to Support Collaborative Learning.