The geometrical uncertainty associated with a rotating rubber tire can greatly influence the optimal race car setup for a particular track. We quantify this uncertainty by creating up to 20,000 unique 3D wheel configurations that span an input space of multiple uncertain and design parameters. The aerodynamic characteristics of each wheel configuration, consisting of 30 million cells, is solved numerically using Computational Fluid Dynamics (CFD) on Certainty. Every configuration is slightly modified by morphing the mesh locally depending on the multi-objective optimization algorithm.
Optimization of a Formula 1 Wheel Assembly using CFD and Mesh Morphing Technology on Certainty / J., Axerio; Petrone, Giovanni; V., Sellapan; M., Emory; G., Iaccarino. - ELETTRONICO. - (2010), pp. 12-23. (Intervento presentato al convegno Stanford High Performance Computing Conference V tenutosi a Stanford University, CA nel December 8th and 9th, 2010).
Optimization of a Formula 1 Wheel Assembly using CFD and Mesh Morphing Technology on Certainty
PETRONE, GIOVANNI;
2010
Abstract
The geometrical uncertainty associated with a rotating rubber tire can greatly influence the optimal race car setup for a particular track. We quantify this uncertainty by creating up to 20,000 unique 3D wheel configurations that span an input space of multiple uncertain and design parameters. The aerodynamic characteristics of each wheel configuration, consisting of 30 million cells, is solved numerically using Computational Fluid Dynamics (CFD) on Certainty. Every configuration is slightly modified by morphing the mesh locally depending on the multi-objective optimization algorithm.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
