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Projects

13 results

  • Developments in Lattice Boltzmann Flow Solver

    This project is focused on building technology to model the flow of single and multiphase fluids. This will rely on …

  • Generative Adversarial Network for Turbulent Multiphase Flows

    This project aims to employ Generative Adversarial Networks (GANs) in combination with other machine learning methods to predict and carry …

  • Flow Assurance and Safety

    Energy applications often involve the need for effective flow-assurance by preventing deposits from blocking the flow path of produced …

  • Generative Adversarial Networks for COVID-19

    This project consists of using a generative adversarial network (GAN) to predict the spatial variation of COVID-19 over time …

  • Manufacturing of Drop Micro-reactors

    Microfluidic studies of droplets provide a unique opportunity for optimisation of manufacturing processes with chemical reactions by statistically relevant ensembles …

  • Efficacy of Face Masks against COVID-19

    This project aims to close the evidence gap by investigating the effectiveness of face masks to reduce exposure to respiratory …

  • Massively Parallelised Interface-Tracking Simulations of Two-Phase Mixing Flows

    We study a complex turbulent multiphase mixing problem using a numerical framework that considers fluid-structure interaction. Flow mixing inside …

  • Developments in Ultrasound Techniques for Multiphase Flow Measurements

    Multiphase flows encompass a range of scales. Flows of solids in gas or liquid phases in fluidisation and pneumatic conveying …

  • Developments in Ghost Particle Velocimetry Technique

    Multiphase flows of practical importance involve different time and length scales, complicated time-dependent interfacial geometry, heat and mass transfer …

  • Surfactant Transport at Interfaces

    Fluids involved in multiphase flows usually include some additives due to technological requirements or contamination. They can be polymers, low …

  • Mass Transfer between Phases

    Flows in small channels intensify processes such as liquid-liquid extractions which are widely used for the separation of metals …

  • Assessing Circulatory Disorders

    Early diagnosis of circulatory disorders would provide the practitioner/diagnostician/surgeon with several patient-specific treatment options which would significantly …

  • Multi-fluid Modelling Combined with Interface Tracking

    Multiphase flow in a pipe can often be characterised by the configuration or flow pattern of the phases involved. Generally …

People

28 results

  • Gabriel Farah

  • Fria Hossein

  • Paola Lettieri

  • Morgan Kerhouant

  • Vinicius Luiz Santos Silva

  • Pranav Vasanthi

  • Mark Girolami

  • Ricardo Constante Amores

  • Mark Simmons

  • Valeria Garbin

  • Liam Grover

  • Rossella Arcucci

  • Asiri Obeysekara

  • Omar Matar

  • Assen Batchvarov

  • Steven Dargaville

  • Maria Kalli

  • Jiansheng Xiang

  • Nina Kovalchuk

  • Benoit Chachuat

Theme: Energy
Projects:
Generative Adversarial Network for Turbulent Multiphase Flows

Application of machine learning methods to predict realistic flow fields

Multi-fluid Modelling Combined with Interface Tracking

Development of multi-component modelling code to accurately predict complex flow characteristics in industry-relevant flows

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