DUGi: Item | DUGiDocs - Learning hydraulic turbomachinery with computational fluid dynamics (CFD) codes

Item

Author:	Pujol i Sagaró, Toni Montoro Moreno, Lino Pelegrí Sabater, Marc González Castro, Josep R.
Date:	2013 December
Abstract:	In fluid mechanics courses of engineering curricula, theoretical performance curves of hydraulic turbines are obtained by means of simple analytical expressions that tend to overestimate experimental data. As we show here in the analysis of a laboratory-scale Pelton wheel, a much deeper physical insight can be achieved by means of general-purpose commercial computational fluid dynamics (CFD) software programs, becoming a suitable tool for academic activities This work has been partially funded by the Generalitat de Catalunya under grant 2009-SGR-374, the MICINN under grant FIS-2009-13050, and the European Commission under grant NEST-28192-FEPRE
Format:	application/pdf
ISSN:	1061-3773 (versió paper) 1099-0542 (versió electrònica)
Document access:	http://hdl.handle.net/10256/14113
Language:	eng
Publisher:	Wiley
Collection:	MEC/PN 2010-2012/FIS 2009-13050 Reproducció digital del document publicat a: http://dx.doi.org/10.1002/cae.20513 Articles publicats (D-EMCI)
Is part of:	© Computer Applications in Engineering Education, 2013, vol. 21, núm. 4, p. 684-690
Rights:	Tots els drets reservats
Subject:	Dinàmica de fluids -- Informàtica Fluid dynamics -- Data processing Turbomàquines hidràuliques Hydraulic turbomachinery
Title:	Learning hydraulic turbomachinery with computational fluid dynamics (CFD) codes
Type:	info:eu-repo/semantics/article
Repository:	DUGiDocs