Multiscale modeling of turbulent atomization: Droplet-size sampling. (July 2020)

• Record Type: Journal Article
• Authors: Gonzalez-Juez, Esteban D.; Kerstein, Alan R.
• Is Part Of: International journal of multiphase flow. Volume 128(2020)
• Publication Date: 2020-07
• Subjects: Atomization -- Sprays -- CFD -- Turbulence; Multiphase flow -- Periodicals; Écoulement polyphasique -- Périodiques; Multiphase flow; Periodicals; 620.1064
• DOI: 10.1016/j.ijmultiphaseflow.2020.103268
• Languages: English
• ISSNs: 0301-9322

Abstract

Highlights: For modeling turbulent atomization, this paper derives two droplet-size distributions. A key aspect of them is that they are parametrized by local flow information. The testing considers a round jet from which DNS data is available. Abstract: With an interest on atomization in turbulent flows, and modeling alternatives to classic atomization models and Direct Numerical Simulations (DNS), the present work derives and tests two droplet-size distributions parametrized by local information about the flow. One distribution is heuristic and another one is based on the linear-eddy model. Predictions from these distributions are tested with numerical simulations in which the unresolved droplet-mass production is closed by assuming that turbulence is the rate controlling mechanism and by using a correction step. Moreover, the testing considers a round jet with a Reynolds number of 5000 from which DNS data is available. Overall, it is found that the present atomization model provides an enhancement of accuracy of the droplet-mass production and droplet-diameter distribution in comparison with using no model. Furthermore, the predicted droplet-diameter distribution is more accurate than that using a previous assumption of taking droplet diameters equal to local Taylor microscales. These results are obtained with simulations whose cost is orders of magnitude less than DNS.