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Assement study of the RNG turbulence model for steady state swirling flow analysis in a draft tube
Mechanical Engineering Department, Universidad Michoacana de San Nicolas de Hidalgo.
Mechanical Engineering Department, Universidad Michoacana de San Nicolas de Hidalgo.
Mechanical Engineering Department, Universidad Michoacana de San Nicolas de Hidalgo.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Fluid and Experimental Mechanics.ORCID iD: 0000-0001-7599-0895
2012 (English)In: Avances en Simulacion Computacional y Modelado Numerico: memorias del XI congreso internacional de métodos numéricos en ingeniería y ciencias aplicadas CIMENICS'2012, Isla de Margarita, Venezuela, 26 al 28 de marzo de 2012 / [ed] E. Dávila; G. Uzcátegui; M. Cerrolaza, Facultad de Ingeniería , Universidad Central de Venezuela , 2012Conference paper, Published paper (Refereed)
Abstract [en]

The flow in a hydraulic turbine draft tube is a challenging industrial application for CFD because is characterized by a turbulent flow with different flow phenomena, e.g. unsteadiness, flow separation, swirling flow and strong adverse pressure gradient. Thus, its simulation is complex and time-consuming high computational capacities are required Additionally, adequate turbulence modeling is needed to predict such flows accurately. The objective of the present work is to investigate the accuracy of the Renormalization Group Theory (RNG) k-c turbulence model on the draft tube flow close to the best efficiency of the turbine. The effect of the discerization schemes on these models has been studied As the flow is significantlyaffected by the walls, two different grid concentrations near to the wall (y + I and y + 50) were evaluated The numerical results are compared to detailed experimental results at different section and discussed.

Place, publisher, year, edition, pages
Facultad de Ingeniería , Universidad Central de Venezuela , 2012.
National Category
Fluid Mechanics and Acoustics
Research subject
Fluid Mechanics
Identifiers
URN: urn:nbn:se:ltu:diva-27270Local ID: 0a798d6d-31f2-4ccc-8649-27112fcee099ISBN: 978-980-7-161-03-9 (print)OAI: oai:DiVA.org:ltu-27270DiVA, id: diva2:1000453
Conference
Congreso Internacional de Métodos Numéricos en Ingeniería y Ciencias Aplicadas : 26/03/2012 - 28/03/2012
Note
Godkänd; 2012; 20121203 (cervante)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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