The goal of this project is to investigate the modelling, design, and optimization of a radiation shield for nuclear thermal propulsion (NTP) applications. The work will begin with a literature review covering: Acceptable radiation dose limits for spacecraft electronics and, where applicable, crew members; Candidate shielding materials and their relevant properties; Shield geometries, configurations, and overall design strategies used in past and proposed NTP systems. Based on this review, an initial design trade-off will be carried out to identify promising shielding concepts and guide subsequent design choices. The NTP engine considered in this project uses ammonia as propellant. As the propellant tank is partially or fully filled, the ammonia itself will provide varying degrees of radiation shielding. This self-shielding effect must be accurately characterized and incorporated into the overall shield design. The project is entirely simulation-based and will be conducted using python, and the Monte Carlo code OpenMC in a UNIX/Linux environment. The exact specifications and focus of the work will be finalized before or at the start of the project, depending on the ongoing needs of the laboratory. Students with a background in nuclear engineering or related fields will have the opportunity to apply their knowledge to a practical, research-oriented problem directly relevant to advanced space propulsion systems.
Area of study:
- Nuclear Engineering (mandatory background or related to the field of nuclear),
- Mechanical Engineering
Required technical skills:
- Particle matter interaction knowledge
- Python programing (average or higher proficiency)
- UNIX/Linux shell (basics is enough)
- OpenMC (optional - can be learned on the job)
Desired background/domain knowledge/experience/interests:
Understanding of basic nuclear engineering concepts, thermodynamics concepts, space enthusiast, and how radiation interacts with matter, willingness to learn new computer codes, scientific curiosity, and initiative.
What you will learn:
- Working in a scientific environment
- Modelling and simulating a radiation shield in OpenMC
- Optimization in Python
- General knowledge on radiation shielding
- Data processing, visualization, and interpretation
Contact:
Alexandre Chappuis
Alexandre.Chappuis@psi.ch