As a PhD-student, you will investigate during four years the applicability of machine learning for complex fluid mechanics and convective heat transfer.
In engineering solutions hydrodynamic modelling is often used during the design process. Examples include the design of a ship’s hull or its propeller, a customised heat exchanger or a gas turbine blade.
These examples have in common that, during operation, their performance deteriorates as a result of surface degradation.
Such degradation is typically caused by (bio-) fouling or corrosion. Bio-fouling on ship hulls causes increased resistance, which in turn leads to significantly increased fuel consumption.
In heat exchangers and turbines, the roughening of surfaces leads to decreased thermodynamic performance. The effect of roughness is so significant that long periods of maintenance are necessary.
You will employ machine learning in multiple ways. Firstly, using a pre-generated database, you will build a ML-model that can accurately predict resistance and heat transfer across any rough surface, based on the local topological features of the roughness.
Secondly, you will employ machine learning to generate alternative turbulence models in which the effect of wall roughness is accounted for.
In order to train the model, a large Direct Numerical Simulation database of flows past rough surfaces was pre- generated this year using the national supercomputer Cartesius.
Thirdly, you are encouraged to come up with your own ideas for ML with respect to flows past complex surfaces.
This project is the result of a collaboration between the departments of Process & Energy and Maritime and Transport Technology.
At the department of Process & Energy, we enable the energy transition by educating future (mechanical) engineers and by developing novel processes and equipment for the production and consumption of novel fuels, chemicals and materials.
We perform outstanding research in the fundamentals (thermodynamics and fluid dynamics) and in technologies (energy technology and storage, process intensification and multiphase systems).
The essence of Maritime and Transport Technology is to develop, design, build and operate marine, dredging and transport systems and their equipment.
New generation transport and marine systems have to be based on new concepts. This requires the further development of the knowledge of the dynamics and the physical processes involved in transport, dredging and marine systems, the logistics of the systems and the interaction between the equipment and control systems.