Abstract
This project is part of the MUNA-project. It deals with the investigations of uncertainties of a CFD-Simulation caused by variation of numerical parameters, inflow conditions and geometrical parameters. To evaluate the influence of different parameters on the results of an experiment or simulation usually a full parameter analysis must be performed. A full parameter analysis requires a high number of simulations, rising with the number of parameters, which are investigated. In this study the Taguchi method, which is based on DoE (Design of Experiments) methods and well known for the optimization of production cycles, is applied. It reduces the number of required simulations dramatically and therefore also the costs. In this article the basics of the Taguchi Method are explained and a summary of the ANOVA-analysis, is given. The ANOVA analysis is used for the analysis of the results obtained by the Taguchi method. It delivers the relative influences of each investigated parameter and also the influence of interaction among different parameters can be obtained. The effect of the parameter variations on the CFD result is shown for two- and three dimensional simulations. Numerical, geometrical and also inflow conditions are investigated.
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© 2013 Springer-Verlag Berlin Heidelberg
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Wolf, A., Henes, D., Bogdanski, S., Lutz, T., Krämer, E. (2013). Statistical Analysis of Parameter Variations Using the Taguchi Method. In: Eisfeld, B., Barnewitz, H., Fritz, W., Thiele, F. (eds) Management and Minimisation of Uncertainties and Errors in Numerical Aerodynamics. Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol 122. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36185-2_10
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DOI: https://doi.org/10.1007/978-3-642-36185-2_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36184-5
Online ISBN: 978-3-642-36185-2
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