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

Ítem

Director:	Ministerio de Ciencia e Innovación (Espanya)
Autor:	Pujol i Sagaró, Toni Montoro Moreno, Lino Pelegrí Sabater, Marc González Castro, Josep R.
Data:	desembre 2013
Resum:	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
Accés al document:	http://hdl.handle.net/10256/14113
Llenguatge:	eng
Editor:	Wiley
Col·lecció:	info:eu-repo/semantics/altIdentifier/doi/10.1002/cae.20513 info:eu-repo/semantics/altIdentifier/issn/1061-3773 info:eu-repo/semantics/altIdentifier/eissn/1099-0542 MICINN/PN 2010-2012/FIS2009-13050
Drets:	Tots els drets reservats
Matèria:	Dinàmica de fluids -- Informàtica Fluid dynamics -- Data processing Turbomàquines hidràuliques Hydraulic turbomachinery
Títol:	Learning hydraulic turbomachinery with computational fluid dynamics (CFD) codes
Tipus:	info:eu-repo/semantics/article
Repositori:	DUGiDocs