Automated optimal design using CFD and high performance computing

Knight, Doyle

doi:10.1007/3-540-62828-2_121

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On Genetic Algorithms1

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2012

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Cited by 5 publications

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“…Because thousands of gaits must be analyzed to find a good solution, years of computing time would be required. The literature supports this conclusion that CFD computation of controlledcurvature pectoral fins is time/processor intensive [1,3,21] and that a genetic algorithm using CFD is perhaps prohibitively so [25].…”

Section: On Genetic Algorithmsmentioning

confidence: 94%

Robotic Pectoral Fin Thrust Vectoring Using Weighted Gait Combinations

Palmisano

Geder

Ramamurti

et al. 2012

Applied Bionics and Biomechanics

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A method was devised to vector propulsion of a robotic pectoral fin by means of actively controlling fin surface curvature. Separate flapping fin gaits were designed to maximize thrust for each of three different thrust vectors: forward, reverse, and lift. By using weighted combinations of these three pre-determined main gaits, new intermediate hybrid gaits for any desired propulsion vector can be created with smooth transitioning between these gaits. This weighted gait combination (WGC) method is applicable to other difficult-to-model actuators. Both 3D unsteady computational fluid dynamics (CFD) and experimental results are presented.

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Section: On Genetic Algorithmsmentioning

confidence: 94%