Performance, reliability and cost have always been drivers in the rocket business. Hybrid rockets have been late entries into the launch business due to substantial early development work on liquid rockets and solid rockets. Slowly the technology readiness level of hybrids has been increasing due to various large scale testing and flight tests of hybrid rockets. One remaining issue is the cost of hybrids versus the existing launch propulsion systems. This paper will review the known state-of-the-art hybrid development work to date and incorporate it into a genetic algorithm to optimize the configuration based on various parameters. A cost module will be incorporated to the code based on the weights of the components. The design will be optimized on meeting the performance requirements at the lowest cost.


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    Titel :

    Genetic Algorithm Optimization of a Cost Competitive Hybrid Rocket Booster


    Beteiligte:
    Story G. (Autor:in)

    Erscheinungsdatum :

    2015


    Format / Umfang :

    41 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch