Elucidation of Influence of Fuels on Hybrid Rocket Using Visualization of Design-Space Structure

Abstract

The stratum-type association analysis as a new data mining technique has been applied to the conceptual design of a single-stage launch vehicle with hybrid rocket engine. The conceptual design was performed by using design informatics, which has three points of view, i.e., problem definition, optimization, and data mining. The primary objective of the present design is that the down range and the duration time in the lower thermosphere are sufficiently secured for the aurora scientific observation, whereas the initial gross weight is held down to the extent possible. The multidisciplinary design optimization was performed by using a hybrid evolutionary computation. Data mining was also implemented by using the stratum-type association analysis. Consequently, the design information regarding the tradeoffs has been revealed. The hierarchical dendrogram generated by using the stratum-type association analysis indicates the structure of the design space in order to improve the objective functions. Furthermore, the assignments of the stratum-type association analysis have been obtained.