Exploring Alpha Particle Confinement and Aerogel Attenuation for Fission Fusion Fragment Rocket Applications

ORAL

Abstract

Advances in nuclear propulsion are being explored to revolutionize space travel, allowing for more efficient transportation beyond Earth's orbit. Our research focuses on developing new fission fragment rocket engines (FFRE) for deep space exploration, which offer significantly higher propellant efficiency than existing rocket technologies. The engine concept relies on embedding fissile fuel particles in ultra-low-density aerogel matrices to achieve high specific impulse and power density. A key aspect of the research involves determining whether such a fuel assembly can reach critical mass and allow the escape of fission fragments without significant attenuation. To study particle confinement, we utilized 3.19 µCi of Am-241 as a source of α-particles, which served as surrogates for fission fragments. The source was placed within a cylindrical vacuum chamber, which was further enclosed by 3 Tesla MRI superconducting magnets at the Texas Tech Neuroimaging Institute (TTNI). The experimental setup was optimized using COMSOL and MCNP simulations. Additionally, CR-39 detectors and aerogels of varying compositions and properties were employed to assess the aerogel’s attenuation of high-energy alpha particles. Initial results support the feasibility of the FFRE concept.

*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.

Publication: [1] S. Puri, A. K. Gillespie, I. Jones, C. Lin, R. Weed, and R. 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, p. S1738573324004054, Aug. 2024, doi: 10.1016/j.net.2024.08.026.
[2] S. Puri et al., "Progress in Fission Fragment Rocket Engine Development and Alpha Particle Detection in High Magnetic Fields," 2024, arXiv. doi: 10.48550/ARXIV.2409.15206.

Presenters

  • Sandeep Puri

    • Texas Tech University

Authors

  • Sandeep Puri

    • Texas Tech University
  • Cuikun Lin

    • Center for Emerging Energy Sciences, Department of Physics and Astronomy, Texas Tech University
  • Andrew K Gillespie

    • Center for Emerging Energy Sciences, Department of Physics and Astronomy, Texas Tech University
    • Texas Tech University
  • Mitchell Kelley

    • Center for Emerging Energy Sciences, Department of Physics and Astronomy, Texas Tech University
  • Ian Jones

    • Center for Emerging Energy Sciences, Department of Physics and Astronomy, Texas Tech University
  • Christopher Carty

    • Center for Emerging Energy Sciences, Department of Physics and Astronomy, Texas Tech University
  • Noah D'Amico

    • Texas Tech University
  • Ryan Weed

    • Positron Dynamics
  • Robert V Duncan

    • Texas Tech University