High-order computational fluid dynamics simulations of a spinning golf ball

Abstract

This paper presents the first high-order computational fluid dynamics (CFD) simulations of static and spinning golf balls at realistic flow conditions. The present results are shown to capture the complex fluid dynamics inside the dimples which lead to drag reduction versus a smooth sphere, and compare well to previous experimental and computational studies. The high-order flux reconstruction method has been paired with the artificial boundary overset method to enable simplified mesh generation and grid motion. The compressible Navier–Stokes equations are modeled using a scale-resolving large eddy simulation (LES) approach with no sub-grid models. The codes implementing these methods have been implemented for NVIDIA graphical processing units (GPUs), enabling large speedups over traditional computer hardware. The new method allows for the simulation of golf balls, and other objects at moderate Reynolds numbers, to be simulated in a matter of days on large computing clusters.