Physical construction of local design information for sounding hybrid rocket design via correlation-based information hierarchical structure

Design information in practical engineering problems is briefly classified into two groups: global and local design information. Global design information is easy to physically construct but mostly trivial. In contrast, local design information is difficult to physically interpret because of mechanical acquisition but potentially worth for innovative design. This research deals with a recent data mining be named Correlation-based Information Hierarchical Structuring Method; we apply it to a practical engineering problem to physically construct local design information. As a result, our approach has successfully functioned as intuitive visual mining to generate latent hierarchical structure of the design space. Moreover, local design information regarding sweet spots was consequently revealed although the former mining techniques did not obtain them; physical construction could be also implemented by handling it.