Tao Xing | » Download Full Abstract
Assistant Professor, Department of Mechanical Engineering
This project aims to use computational fluid dynamics (CFD) to design and optimize the magnetic separation system used in spent nuclear fuel recycling. The project will develop advanced models for both the fluid and particles such that the accuracy of predicting the removal efficiency of particles will be significantly improved. The model will be validated using data measured by a research team at the Department of Physics, University of Idaho, and other experimental data when available. The validated model will be used to elucidate the best combination of flow rate, concentration, magnetic field gradient, and types of particles to achieve the highest removal efficiency of particles. The research results/findings will be published in refereed Journals and conference proceedings. The model can be easily transformed to be used for many disciplines such as nuclear engineering, chemical engineering, and mineral engineering.