CFD: General II

Presentations

• Surrogate-model Optimisation Strategies for non-Newtonian Gelling

  ORAL

  Nov. 26, 2019, 10:31 AM – Nov. 26, 2019, 10:44 AM

  Authors

  • Adam Kutnar

    • Imperial College London

  • Lachlan Mason

    • Alan Turing Institute
    • Alan Turing Institute, UK

  • Indranil Pan

    • Imperial College London

  • Richard Craster

    • Imperial College London

  • Omar Matar

    • Imperial College London
    • Department of Chemical Engineering, Imperial College London

  View abstract →

• Geometric parameter optimization of a liquid jet liquid ejector

  ORAL

  Nov. 26, 2019, 10:44 AM – Nov. 26, 2019, 10:57 AM

  Authors

  • Ivan Korkischko

    • CECCO, Nuclear and Energy Research Institute, Sao Paulo, Brazil

  • Felipe Silva Maffei

    • Dept. Mechanical Engineering, POLI, University of Sao Paulo, Sao Paulo, Brazil

  • Rafael dos Santos Gioria

    • Dept. Mining and Petroleum Engineering, POLI, University of Sao Paulo, Santos, Brazil

  • Julio Meneghini

    • Dept. Mechanical Engineering, POLI, University of Sao Paulo, Sao Paulo, Brazil
    • University of Sao Paulo
    • Universidade de S\~ao Paulo
    • Universidade de São Paulo
    • Polytechnic School, University of S\~{a}o Paulo

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• Direct Numerical Simulations of Mixing: From Aeration Tanks to Food Mixers

  ORAL

  Nov. 26, 2019, 10:57 AM – Nov. 26, 2019, 11:10 AM

  Authors

  • Seungwon Shin

    • Hongik University, South Korea

  • Lyes Kahouadji

    • Imperial College London

  • Jalel Chergui

    • LIMSI, CNRS, France

  • Damir Juric

    • LIMSI, CNRS, France

  • Richard Craster

    • Imperial College London

  • Omar Matar

    • Imperial College London
    • Department of Chemical Engineering, Imperial College London

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• Numerical Simulation of Crude-Oil Fouling with the Volume-of-Fluid Method

  ORAL

  Nov. 26, 2019, 11:10 AM – Nov. 26, 2019, 11:23 AM

  Authors

  • Gabriel Goncalves

    • Imperial College London

  • Mirco Magnini

    • University of Nottingham
    • The University of Nottingham

  • Omar Matar

    • Imperial College London
    • Department of Chemical Engineering, Imperial College London

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• Three-dimensional Numerical Simulations of Turbulent Surfactant-laden Jets

  ORAL

  Nov. 26, 2019, 11:23 AM – Nov. 26, 2019, 11:36 AM

  Authors

  • Jalel Chergui

    • LIMSI, CNRS, France

  • Ricardo Constante-Amores

    • Imperial College London

  • Assen Batchvarov

    • Imperial College London

  • Lyes Kahouadji

    • Imperial College London

  • Seungwon Shin

    • Hongik University, South Korea

  • Damir Juric

    • LIMSI, CNRS, France

  • Richard Craster

    • Imperial College London

  • Omar Matar

    • Imperial College London
    • Department of Chemical Engineering, Imperial College London

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• Computational Investigation of the Retropulsive Jet Produced by Antral Contraction Waves in a Model Stomach

  ORAL

  Nov. 26, 2019, 11:36 AM – Nov. 26, 2019, 11:49 AM

  Authors

  • Kathleen Feigl

    • Michigan Technological University

  • Samer Alokaily

    • University of Petra

  • Franz Tanner

    • Michigan Technological University

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• Hydrodynamics of solid objects impacting on free surface fluid

  ORAL

  Nov. 26, 2019, 11:49 AM – Nov. 26, 2019, 12:02 PM

  Authors

  • Deepak Kumar Pandey

    • Pusan National University

  • HeeChang Lim

    • Pusan National University

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• Active learning methodologies for surrogate model development in CFD applications

  ORAL

  Nov. 26, 2019, 12:02 PM – Nov. 26, 2019, 12:15 PM

  Authors

  • Indranil Pan

    • Imperial College London

  • Gabriel Goncalves

    • Imperial College London

  • Assen Batchvarov

    • Imperial College London

  • Yuxin Liu

    • Imperial College London

  • Yuyi Liu

    • Imperial College London

  • Vikneswaran Sathasivam

    • Imperial College London

  • Nicholas Yiakoumi

    • Imperial College London

  • Lachlan Mason

    • Alan Turing Institute
    • Alan Turing Institute, UK

  • Omar Matar

    • Imperial College London
    • Department of Chemical Engineering, Imperial College London

  View abstract →