Suscripción a Biblioteca: Guest
Portal Digitalde Biblioteca Digital eLibros Revistas Referencias y Libros de Ponencias Colecciones
Atomization and Sprays
Factor de Impacto: 1.262 Factor de Impacto de 5 años: 1.518 SJR: 0.814 SNIP: 1.18 CiteScore™: 1.6

ISSN Imprimir: 1044-5110
ISSN En Línea: 1936-2684

Volumes:
Volumen 29, 2019 Volumen 28, 2018 Volumen 27, 2017 Volumen 26, 2016 Volumen 25, 2015 Volumen 24, 2014 Volumen 23, 2013 Volumen 22, 2012 Volumen 21, 2011 Volumen 20, 2010 Volumen 19, 2009 Volumen 18, 2008 Volumen 17, 2007 Volumen 16, 2006 Volumen 15, 2005 Volumen 14, 2004 Volumen 13, 2003 Volumen 12, 2002 Volumen 11, 2001 Volumen 10, 2000 Volumen 9, 1999 Volumen 8, 1998 Volumen 7, 1997 Volumen 6, 1996 Volumen 5, 1995 Volumen 4, 1994 Volumen 3, 1993 Volumen 2, 1992 Volumen 1, 1991

Atomization and Sprays

DOI: 10.1615/AtomizSpr.v16.i5.40
pages 531-542

PROBABILITY DENSITY FUNCTION (PDF) SIMULATION OF TURBULENT SPRAY FLOWS

Hai-Wen Ge
Ford Motor Company
Eva Gutheil
Interdisciplinary Center for Scientific Computing, Heidelberg University, Heidelberg, 69120, Germany

SINOPSIS

A probability density function (PDF) method is extended to turbulent spray flows. The PDF transport equation of the mixture fraction for turbulent spray flows is deduced, modeled, and solved. The numerical results of the methanol vapor mass fraction for a nonreacting spray, which are obtained using the PDF method, are in good agreement with experimental data and improve the results from the moment closure method. Furthermore, the shapes of the probability density function of the mixture fraction at different positions, which are computed by the Monte Carlo method, are presented and analyzed. It appears that the spray source changes the value of the mean mixture fraction, but it does not change the shape of its PDF. A comparison of the Monte Carlo PDF with the standard β PDF shows that the β function fails to describe the shape of the PDF. With the definition of appropriate local maximum and minimum values of the mixture fraction, a modified β PDF is suitable to reflect the shape of the Monte Carlo PDF very well.