Year: 2024
Type: article
Abstract: The optimization of the thrust-to-power-consumption ratio in ion propulsion systems is critical for advancing space propulsion technologies. Efficient and reliable ion engines are essential for long-duration space missions and interplanetary exploration. This study aims to develop and analyze simulation frameworks for Gridded Ion thrusters and Hall Effect thrusters to enhance the understanding and performance of these propulsion systems. The research involved defining physical parameters for both ion engines, including charge densities, magnetic field strengths, and geometric dimensions. A custom simulation software was created using Mathematica’s advanced computational techniques such as differential equation solvers to simulate ion motion and electric/magnetic field distributions. Extensive parameter sweeps and sensitivity analyses were performed to identify optimal operating conditions. The simulation results were compared with empirical data from the University of Michigan’s Plasmadynamics and Electric Propulsion Laboratory (PEPL) to give a basis in reality. The simulations provided a detailed understanding of the ion propulsion mechanisms and identified optimal parameters that maximize the thrust-to-power-consumption ratio. The optimized parameters for the Gridded Ion thruster and the Hall Effect thruster showed notable improvements in performance, indicating the potential for more efficient space propulsion systems. This study’s findings contribute to the development of more efficient and reliable ion engines. The optimized simulation models offer a foundation for future advancements in space propulsion technology. Further research could involve refining the simulations by incorporating plasma friction and ionization processes for greater accuracy.
Source: Journal of High School Science
DOI: 10.64336/001c.123435
Author: Ethan Kong
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W6921606316