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Atomization and Sprays

Impact factor: 1.235

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

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Atomization and Sprays

DOI: 10.1615/AtomizSpr.2015013285
pages 713-737


Jose M. Desantes
CMT-Motores Termicos, Universitat Politecnica de Valencia, 46022, Spain
Jose M. Garcia-Oliver
CMT Motores Termicos−Universitat Politecnica de Valencia, Camino Vera s/n−46022 Valencia, Spain
Jose M. Pastor
CMT-Motores Termicos, Universitat Politecnica de Valencia, 46022, Spain
A. Pandal
CMT-Motores Termicos, Universitat Politecnica de Valencia, 46022, Spain


A comparison between the Σ-Y atomization model and a classical DDM approach has been carried out for diesel spray computational fluid dynamics (CFD) simulations. The Σ-Y model, originally proposed by Vallet and Borghi, is based on a Eulerian representation of the spray atomization and dispersion by means of a single-fluid variable density turbulent flow. The locally homogeneous flow approach has been applied to develop a spray vaporization model based on state relationships. A finite-volume solver for model equations has been created using the OpenFOAM CFD open-source C++ library. In the case of the Lagrangian-discrete droplet method (DDM) approach, the original dieselFoam solver of OpenFOAM is used. Model predictions have been compared to experimental measurements of free diesel sprays under vaporizing conditions from the database of the Engine Combustion Network (ECN). Accurate predictions of liquid and vapor spray penetration, as well as mixture fraction, can be achieved for the nominal condition with both models, although DDM simulations tend to be less accurate. Additionally, the near nozzle flow structure of the Spray A condition of ECN is also studied with both models. The conclusion is a more accurate prediction of the near-field internal structure of the spray in the case of the Eulerian model, due to both a higher mesh resolution and a more adequate modeling approach. Consequently, results shown in this work put in evidence the benefits of using a Eulerian model to predict qualitatively and accurately the diesel spray behavior under different ambient conditions and injection pressures.