Magnetic Fusion Plasma Drive
Florian Neukart1,2 Show affiliations
- Leiden Institute of Advanced Computer Science, Faculty of Science, Leiden University, Snellius Gebouw, Niels Bohrweg 1, CA Leiden, The Netherlands
- Terra Quantum AG, Kornhausstrasse, St. Gallen, Swaziland
American Journal of Engineering and Applied Sciences, Volume 17, Issue 2, pp. 70–91 · doi.org/10.3844/ajeassp.2024.70.91
Abstract
In the evolving realm of space exploration, efficient propulsion methods are paramount to achieve interplanetary and possibly interstellar voyages. Traditional propulsion systems, although proven, offer limited capabilities when considering longer-duration missions beyond our immediate cosmic vicinity. This study introduces and thoroughly investigates the Magnetic Fusion Plasma Drive (MFPD) propulsion system, a novel fusion-powered propulsion mechanism. Through rigorous theoretical underpinnings and mathematical formulations, we elucidate the principles governing fusion reactions in the context of propulsion, plasma dynamics, and magnetic confinement in space. Comparative analyses indicate significant advantages of the MFPD system over existing technologies, particularly in fuel efficiency, thrust capabilities, and potential scalability. Example calculations further substantiate the immense energy potential and feasibility of the MFPD for long-duration missions. While challenges remain, the MFPD system embodies a promising avenue for a propulsion paradigm shift, potentially revolutionizing our approach to space exploration.
Licence and reuse
Open access. This article is licensed under a Creative Commons Attribution 4.0 International Licence (CC BY 4.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.
How to reuse this articleResponses (0)
About this article
Neukart, F. (2024). Magnetic Fusion Plasma Drive. American Journal of Engineering and Applied Sciences, 17(2), 70–91. https://doi.org/10.3844/ajeassp.2024.70.91
- Licence
- CC BY 4.0
- Issue
- Volume 17, Issue 2
- Policies
- Editorial independenceUse of generative AIData availabilityAppeals and complaints
- Version
- Version of record
