In design, proper parametrization is an important activity. A straightforward parametrization using e.g. geometric dimensions directly seldom achieves models that can be easily modified to respond different functional requirements. A good parametrization contains some implicit information about the design space, and automatically excludes invalid solutions by minimizing the region of a design space that is unfeasible, e.g. by introducing parameters based on dimensionless numbers. In this way, waste of design space is minimized, and it can be quantified using design information entropy, so that different parametrizations can be compared. This is particularly useful in design optimization, but it is equally important in manual design. This is related to the independence axiom in Axiomatic Design, where ideally each functional requirement (FR) should be depending on only one design parameter (DP), but it is much more general, since it does not implicitly assume that the functional requirements are independent, but instead allows for correlation between them.
CITATION STYLE
Krus, P. (2017). Design space configuration trough analytical parametrization. In Smart Innovation, Systems and Technologies (Vol. 65, pp. 15–24). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-10-3518-0_2
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