The accuracy and efficiency of several algorithms that couple output from full resolution micro-scale Direct Numerical Simulation computations to input for macro-scale Eulerian-Lagrangian (EL) methods for the computation of high-speed, particle-laden flow are assessed. A Stochastic Collocation method, a Gaussian Radial Basis Function (RBF) Artificial Neural Network (ANN), and an improved RBF-ANN are compared for the fitting of an analytical drag coefficient formula that depends on Mach number and Reynolds number. The improved RBF-ANN uses a clustering algorithm to enhance conditioning of interpolation matrices. The fitted drag coefficient mantle, used to trace point particles in macro-scale computations, is in excellent agreement with the analytical drag formula. The SC method requires fewer micro-scale realizations to obtain comparable accuracy of the drag coefficient. The Gaussian RBF does not converge monotonically, while the improved RBF-ANN converges algebraically and has the potential to provide error estimates.
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ASME 2013 International Mechanical Engineering Congress and Exposition
November 15–21, 2013
San Diego, California, USA
Conference Sponsors:
- ASME
ISBN:
978-0-7918-5631-4
PROCEEDINGS PAPER
Coupling of Micro-Scale and Macro-Scale Eulerian-Lagrangian Models for the Computation of Shocked Particle-Laden Flows
Sean Davis,
Sean Davis
San Diego State University, San Diego, CA
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Oishik Sen,
Oishik Sen
The University of Iowa, Iowa City, IA
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Gustaaf Jacobs,
Gustaaf Jacobs
San Diego State University, San Diego, CA
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H. S. Udaykumar
H. S. Udaykumar
The University of Iowa, Iowa City, IA
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Sean Davis
San Diego State University, San Diego, CA
Oishik Sen
The University of Iowa, Iowa City, IA
Gustaaf Jacobs
San Diego State University, San Diego, CA
H. S. Udaykumar
The University of Iowa, Iowa City, IA
Paper No:
IMECE2013-62521, V07AT08A011; 9 pages
Published Online:
April 2, 2014
Citation
Davis, S, Sen, O, Jacobs, G, & Udaykumar, HS. "Coupling of Micro-Scale and Macro-Scale Eulerian-Lagrangian Models for the Computation of Shocked Particle-Laden Flows." Proceedings of the ASME 2013 International Mechanical Engineering Congress and Exposition. Volume 7A: Fluids Engineering Systems and Technologies. San Diego, California, USA. November 15–21, 2013. V07AT08A011. ASME. https://doi.org/10.1115/IMECE2013-62521
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