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-structure interaction (FSI) with focus on the fluid mechanics. We couple computational fluid dynamics (CFD) to a structural solver and/or a controller for the detailed simulation of a machine. We develop
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the engineering development and validation programme, bringing hands-on capability in 3D CAD and CFD modelling to support design iteration and to undertake aerodynamic and heat-transfer assessments
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This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification
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Technological Development Projects in All Scientific Domains – IC&DT2020 program, under the following conditions: Scientific Area: Mechanical and Industrial Engineering Recipient category: The BIPD are intended
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“ Are you interested in the sustainable use of natural resources and would you like to research and develop new, efficient recycling methods as part of your scientific career? Then the Research Training Group
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
experience in FEA/CFD for electromechanical, thermal and cryogenic systems (COMSOL or ANSYS); programming experience in C, Python and/or MATLAB; project development and management experience; experience with
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for modeling multiphase flows governed by complex, nonlinear dynamics across multiple scales. The postdoctoral researcher will investigate how to develop complement/augment classical CFD methods with quantum
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cooling approaches. As the successful candidate you will also contribute directly to the engineering development and validation programme, bringing hands-on capability in 3D CAD and CFD modelling to support
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field measurements and laboratory experiments Comparing and evaluating existing numerical models, including XBeach and Watlab (developed at UCLouvain/iMMC) Developing and implementing improved numerical
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. Géotechnique, 68(10) 918-930. https://doi.org/10.1680/jgeot.17.P.161 [6] Sanvitale N., Zhao B., Bowman E. & O’Sullivan C. (2021) Particle-scale observation of seepage flow in granular soils using PIV and CFD