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Assessments of multidimensional diesel spray predictions

Conference ·
OSTI ID:7061853

In this paper a multidimensional method is described and evaluated for the prediction of Diesel sprays. The method, which shares many features with similar approaches developed elsewhere, embodies an Eulerian description of the gas flow and a stochastic Lagrangian treatment of the spray droplets. Gas phase turbulence effects are represented by the k-epsilon model and their influence on the droplets is modelled stochastically, as are the processes of collision and coalescence. The sensitivity of the predicted penetration rates to the assumed initial droplet size distribution is relatively weak, but the calculated vaporization rates are strongly sensitive.

Research Organization:
Mechanical Engineering Dept., Imperial College of Science and Technology, London
OSTI ID:
7061853
Report Number(s):
CONF-861041-
Country of Publication:
United States
Language:
English