Development of a Fission Fragment Rocket Engine for Enhanced Propellant Efficiency in Deep Space Exploration
ORAL
Abstract
To study particle confinement, we utilize 3 Tesla MRI superconducting magnets at Texas Tech Neuroimaging Institute (TTNI) to guide α-particles emitted from Am-241 as surrogates for fission fragments. The experiment, conducted within a 3 Tesla MRI magnet, employs a scintillator-based detection system resistant to strong magnetic fields. Simulations using COMSOL and MCNP software helped optimize the experimental environment, and initial results support the feasibility of the FFRE concept. Additionally, CR-39 detectors and aerogels of varying compositions and physical properties were used to assess particle attenuation, providing valuable insights into the effectiveness of aerogel as a matrix material.
*This work was supported by NIAC Phase I contract No. 80NSSC23K0592, Department of Energy award No. DE-AR0001736, the Texas Research Incentive Program, and 2025 Research Assistance Program by Texas Tech University
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Publication: 1. Sandeep Puri, Andrew K. Gillespie, Ian Jones, Cuikun Lin, Ryan Weed, Robert V. Duncan, Simulation and experimental analysis of aerogel's attenuation for high-energy alpha particles in fission-fusion fragment rocket applications, Nuclear Engineering and Technology, 2024, ISSN 1738-5733, https://doi.org/10.1016/j.net.2024.08.026.
2. Sandeep Puri, Cuikun Lin, Andrew Gillespie, Ian Jones, Christopher Carty, Ryan Weed, Robert V. Duncan, Progress in Fission Fragment Rocket Engine Development and Alpha Particle Detection in High Magnetic Fields (preparation)
Presenters
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Sandeep Puri
- Texas Tech University
- Center for Emerging Energy Sciences, Department of Physics and Astronomy, Texas Tech University