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We are looking for an ambitious and innovative graduate student to join our fluid mechanics team at AFRY to conduct a master thesis. 

The purpose of this thesis is to develop a computational model for predicting pressure drop in transient turbulent flows. Transient turbulent boundary layers are important for predicting pressure drops in high-frequency oscillating flows.

The thesis is carried out in collaboration with Tetra Pak

The simulation model will be single-phase LES/DNS and URANS gas and liquid simulation. The thesis project will be carried out in StarCCM+.

The simulation results will be compared with measurements from experiments and literature.

The master thesis will mainly take place at AFRY's office in Gothenburg with some visits to Tetra Pak's office in Lund. Remote work can take place if the work tasks allow it.

You are a master of science student within either the following fields: Chemical Engineering, Mechanical engineering or physical engineering 

Physical phenomena that will be included in the Master Thesis:

• Structure and oscillation of turbulent boundary layers
• Different turbulence methods (URANS, LES and DNS) handling of modelling of turbulent boundary layer.

Planning of degree projects

• The thesis starts with a literature study of two-three weeks on how modelling of boundary layers is handled by RANS, LES or DNS model.
• A model of oscillating flow is then built in the StarCCM+ software and the model are tested against a theoretical case or test data on an existing geometry to verify the validity of the model. Example of a case with oscillating flow is water hammer in pipes after valve closure.
• The verified model is then used for modelling the sensitivity of the system with respect to various changes in the geometry (change of road greyness, pipe diameter, inlet and outlet effects from duct, etc.).
• Compilation of results and report writing of the master degree project as well as production of power-point presentation for presentation of the degree project.

Time span for degree project:

January 2024 – July 2024

Contacts:

Christoffer Källerman

[email protected]

Application deadline

10 December

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