Just as environmental constraints lead nature to produce biological solutions that arise time and again in a variety of living organisms, industry market forces constrain the design of engineered systems. Using data driven dimensional analysis one can uncover these underlying design relationships for a class of dynamic systems. We apply this data driven dimensional analysis methodology to the class of 2-stage electrohydraulic servovalve systems. When the original servovalve design data does not present the expected dimensionless design relationships, we present a clean sheet of paper design which perturbs the servovalve parameters to maintain dynamic similarity and display dimensionless design relationships. These dimensionless design relationships can then be used to produce dynamically similar servovalves for entirely new parameter spaces.

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