Multidisciplinary Design Optimization of Reusable Launch Vehicles for Different Propellants and Objectives
Kai Dresia, Simon Jentzsch, G\"unther Waxenegger-Wilfing, Robson Hahn,, Jan Deeken, Michael Oschwald, Fabio Mota

TL;DR
This paper presents an optimization framework for designing reusable launch vehicles with various propellant options, revealing how objectives and propellants influence design choices and performance.
Contribution
It introduces a multidisciplinary optimization framework for partially reusable launch vehicles, incorporating subsystem mass estimates and propellant calculations, coupled with genetic algorithms for design exploration.
Findings
Liquid hydrogen favors lower lift-off weight.
Hydrocarbon fuels optimize structural mass.
Hybrid fuel configurations are promising for performance.
Abstract
Identifying the optimal design of a new launch vehicle is most important since design decisions made in the early development phase limit the vehicles' later performance and determines the associated costs. Reusing the first stage via retro-propulsive landing increases the complexity even more. Therefore, we develop an optimization framework for partially reusable launch vehicles, which enables multidisciplinary design studies. The framework contains suitable mass estimates of all essential subsystems and a routine to calculate the needed propellant for the ascent and landing maneuvers. For design optimization, the framework can be coupled with a genetic algorithm. The overall goal is to reveal the implications of different propellant combinations and objective functions on the launcher's optimal design for various mission scenarios. The results show that the optimization objective…
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Taxonomy
MethodsRandom Convolutional Kernel Transform
