Reproducibility of experiments with swirling flow: Numerical prediction with polynomial chaos

[+] Author and Article Information
Alouette van Hove

Department of Aerospace Engineering, Delft University of Technology, Kluyverweg 2, 2629 HS, Delft, The Netherlands

Lasse N. Skov

Kamstrup A/S, Industrivej 28, Stilling, 8660 Skanderborg, Denmark

Denis F. Hinz

Kamstrup A/S, Industrivej 28, Stilling, 8660 Skanderborg, Denmark

1Corresponding author.

ASME doi:10.1115/1.4040431 History: Received August 10, 2017; Revised February 20, 2018


Achieving good reproducibility in fluid flow experiments can be challenging, in particular in scenarios where the experimental boundary conditions are obscure. We use computational uncertainty quantification to evaluate the influence of uncertain inflow conditions on the reproducibility of experiments with swirling flow. Using a non-intrusive polynomial chaos method in combination with a computational fluid dynamics code, we obtain the expectation and variance of the velocity fields downstream from symmetric and asymmetric swirl disturbance generators. Our results suggest that the flow patterns downstream from the asymmetric swirl disturbance generator are more reproducible than the flow patterns downstream from the symmetric swirl disturbance generator. This confirms that the inherent breaking of symmetry eliminates instability mechanisms in the wake of the disturber, thereby creating more stable swirling patterns that make the experiments more reproducible.

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