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A Framework for Hyper-Velocity Interplanetary Propulsion: The Cascade Combustion Ion Technology (CComIT) Drive

Authors: Billions, Ava; Knight, Chris;

A Framework for Hyper-Velocity Interplanetary Propulsion: The Cascade Combustion Ion Technology (CComIT) Drive

Abstract

Abstract Current interplanetary propulsion systems present a trade-off between thrust and efficiency, fundamentally limiting humanity's capacity for rapid, deep-space missions. This paper introduces a novel propulsion paradigm, the (Cascade) Combustion Ion Technology (CComIT) Drive, designed to achieve hyper-velocities approaching a significant fraction of the speed of light (c). The CComIT Drive overcomes the limitations of traditional systems by generating a sequence of self-amplifying momentum pulses. The core principle involves using an initial momentum-injection pulse to structure a plasma medium behind the spacecraft, which is then excited by a secondary pulse into a coherent magnetosonic wave. This wave acts as a dynamic, artificial nozzle, focusing the energy of a final, high-power ion pulse to generate a hyper-velocity exhaust and an immense thrust impulse. Operational Safety Note: While theoretical cascade amplification can approach 0.3c, practical missions implement automated drive cutoff at predetermined velocity thresholds based on mission profile: interplanetary missions typically limit to 500-5,000 km/s, with a mandatory safety maximum of 100,000 km/s (0.33c) to prevent accidental FTL overshoot without warp field protection. Interstellar missions may operate up to 0.9c (~270,000 km/s) with full relativistic mission planning and crew preparation. Each cycle builds upon the momentum of the last, creating a cascade effect that enables a quasi-linear acceleration to velocities on the order of 100,000 km/s. We present the complete theoretical foundation of the drive, underpinned by Magnetohydrodynamics (MHD), and provide a rigorous mathematical model of the cascade amplification process. Furthermore, we define the engineering architecture of the system using the Architectural Relational & Coordinate (ARC-File) Framework, ensuring verifiable and reproducible design. A case study for a planetary defense interceptor demonstrates the transformative potential of this technology for ensuring planetary security and enabling a new era of deep-space exploration.

Keywords

Machine Learning, Artificial intelligence, Artificial Intelligence, Physics, Machine learning, Artificial Intelligence/standards, Artificial Intelligence/trends, Machine Learning/standards, Astrophysics, Machine Learning/trends

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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