Aerodynamic Design Using Neural Networks ()

Abstract:
The design of aerodynamic components of aircraft, such as wings or engines, involves a process of obtaining the most optimal component shape that can deliver the desired level of component performance, subject to various constraints, for example, total weight or cost, that the component must satisfy. Aerodynamic design can thus be formulated as an optimization problem that involves the minimization of an objective function subject to constraints. A variety of formal optimization methods, including inverse design methods, adjoint methods, sensitivity derivative-based methods, and traditional response surface methodology (RSM) have been developed in the past and applied to aerodynamic design.

Type of Offer: Licensing



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