Master/Project thesis: CFD–DEM Modelling of Trench Cutter System in Deep-Sea Mining/CFD–DEM Modelling of Trench Cutter System in Deep-Sea Mining
Deep Sea Sampling research project aims to develop sustainable and minimally invasive technologies for the extraction of valuable minerals from the deep-sea floor. Targeting seafloor massive sulphide (SMS) deposits found at depths of 2000–4000 m, the project utilizes a trench cutter–based excavation system equipped with counter-rotating milling wheels that recover seabed material from a confined zone using a pump leading to a hydrocyclone based containment unit. The aim is to minimise turbidity and plume dispersion to avoid disturbance to the fragile submarine ecosystem. Through a combination of CFD and DEM simulations, experimental validation, and industrial collaboration, the DSS project advances environmentally responsible deep-sea mining technologies by coupling precise excavation, contained material transport, and efficient particle separation in one integrated system.
The thesis will involve computational studies on multiphase flow dynamics, particle–fluid interaction, and plume mitigation strategies under realistic deep-sea conditions.
Tasks:
- CFD investigations on flow field near the excavation site.
- Multiphase simulations using CFD–DEM coupled strategy for mining.
- Parametric studies for geometric and operational conditions.
- Seabed modelling using realistic seabed compositions.
- Post-processing results and technical reporting.
Requirements:
- Strong background in Fluid Mechanics, CFD, Multiphase Flow.
- Experience with CAD and CFD software (preferably Star-CCM+).
- Basic knowledge of DEM modelling.
- Programming and scripting skills in C++ or Python, Java (macros).
- Good communication skills in English (German advantageous).
- Self-motivated and capable of independent research work.
What We Offer:
- Interdisciplinary research environment bridging industry and academia.
- Hands-on experience and training on industrial CFD software (Star-CCM+).
- Opportunity to contribute to research initiative on sustainable deep-sea mining.
Beginn: ab sofort
Supervisors:
Prof. Dr. habil. Andreas Wierschem
Room: Room 0.222
- Phone number: +49 9131 85-29566
- Email: andreas.wierschem@fau.de