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Domain: Aerospace Propulsion and Computational Engineering Persona: Senior Aerospace Propulsion Design Lead


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Abstract:

This technical overview examines the development and testing of a monolithic aerospike rocket engine designed via "Noyron," a first-principles computational engineering algorithm developed by Leap 71. Unlike traditional generative AI models based on pattern recognition, Noyron utilizes encoded physical laws—including fluid dynamics, thermodynamics, and combustion chemistry—to synthesize functional hardware geometries.

The engine featured is a 3D-printed copper aerospike that utilizes a dual-propellant regenerative cooling system. While traditional regenerative cooling often relies on a single fuel source (e.g., kerosene), this architecture circulates both liquid oxygen (LOX) and kerosene through internal channels to manage the extreme thermal loads characteristic of aerospike spikes. Functional testing of various prototypes (aluminum, Inconel, and copper) provided empirical data to refine the algorithm. A recent 20kN test of the copper aerospike demonstrated successful ignition and thrust, though it revealed localized cooling failures leading to "engine-rich combustion" (the melting and burning of the copper spike itself), providing critical data for the next iterative design cycle.

Technical Evaluation of Computational Design and Aerospike Propulsion Systems

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