Library Subscription: Guest
Begell Digital Portal Begell Digital Library eBooks Journals References & Proceedings Research Collections
Atomization and Sprays
IF: 1.262 5-Year IF: 1.518 SJR: 0.814 SNIP: 1.18 CiteScore™: 1.6

ISSN Print: 1044-5110
ISSN Online: 1936-2684

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

Atomization and Sprays

DOI: 10.1615/AtomizSpr.2019026990
pages 1081-1100


J. Manin
Sandia National Laboratories, 7011 East Ave., Livermore, CA 94550, USA; Artium Technologies, 470 Lakeside Dr., Sunnyvale, CA 94085, USA


The experimental limitations of the current diagnostics in the near-nozzle region of high-speed sprays led researchers to seek complementary information about the atomization process and the droplet formation from high-fidelity simulations. Detailed simulations can deliver crucial information of these complex processes to improve the global understanding as well as engineering models. We performed detailed simulations of the Engine Combustion Network Spray A case, an ideal target supported by an impressive experimental and numerical data set. An open source code solving the incompressible Navier–Stokes equations was used to investigate the stages of the atomization processes under the challenging conditions of high-pressure sprays. The simulations demonstrated mass conservation and reasonable agreement with the experiments for macroscopic parameters such as spray penetration and spray dispersion. Analysis of the simulation results showed that an unperturbed liquid region was observed in all simulated domains and grid spacing, extending several millimeters downstream of the nozzle exit. Information on droplet size was extracted and compared to experimental data from optical microscopy, but despite good agreement with the experiments for a specific numerical resolution, the distributions showed that grid size convergence was not achieved for the present simulations. The analysis of the results supports that highly detailed computations are needed to understand droplet formation, and confirm that the conditions of modern diesel injection processes represent a highly challenging problem to modelers.