Abstract
Girija et al., (2021). AMAT: A Python package for rapid conceptual design of aerocapture and atmospheric Entry, Descent, and Landing (EDL) missions in a Jupyter environment. Journal of Open Source Software, 6(67), 3710, https://doi.org/10.21105/joss.03710
Highlights
Compared to conventional propulsive insertion, aerocapture allows interplanetary spacecraft to accomplish a near-propellantless method of orbit insertion at any planetary destination with a significant atmosphere
While aerocapture has been studied for many decades, to our knowledge, there are no publicly available tools for rapid conceptual design of aerocapture missions
Aerocapture Mission Analysis Tool (AMAT) aims to fill this gap by providing scientists and mission planners with an interactive design tool to quickly evaluate aerocapture mission concepts, perform parametric trade space studies, and select baseline mission concepts for higher-fidelity analysis
Summary
The Aerocapture Mission Analysis Tool (AMAT) is a free and open-source Python package for rapid conceptual design of aerocapture and atmospheric Entry, Descent, and Landing (EDL) missions in a Jupyter environment. While aerocapture has been studied for many decades, to our knowledge, there are no publicly available tools for rapid conceptual design of aerocapture missions. AMAT aims to fill this gap by providing scientists and mission planners with an interactive design tool to quickly evaluate aerocapture mission concepts, perform parametric trade space studies, and select baseline mission concepts for higher-fidelity analysis. Atmospheric Entry, Descent, and Landing includes the hypersonic flight regime where the entry vehicle undergoes intense heating and rapid deceleration, followed by supersonic and subsonic flight, terminal descent phase, and final touchdown. AMAT provides capabilites for rapid end-to-end conceptual design of aerocapture and EDL mission concepts at any atmosphere-bearing Solar System destination
Published Version (Free)
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