Multiscale simulation of atomization with small droplets represented by a Lagrangian point-particle model. (November 2015)

• Record Type: Journal Article
• Authors: Ling, Y.; Zaleski, S.; Scardovelli, R.
• Is Part Of: International journal of multiphase flow. Volume 76(2015)
• Page Start: 122
• Page End: 143
• Publication Date: 2015-11
• Subjects: Multiphase flows -- Atomization -- Lagrangian point-particle -- Volume of fluid method -- Multiscale modeling; Multiphase flow -- Periodicals; Écoulement polyphasique -- Périodiques; Multiphase flow; Periodicals; 620.1064
• DOI: 10.1016/j.ijmultiphaseflow.2015.07.002
• Languages: English
• ISSNs: 0301-9322

Abstract

Highlights: A multiscale multiphase flow model for atomization simulations is proposed. The large-scale interfaces are resolved by the Volume-of-Fluid (VOF) method. The small droplets are represented by the Lagrangian point-particle (LPP) model. A series of multiphase flow problems are considered to validate the model. The model is applied to simulate the gas-assisted atomization experiment. Abstract: Modeling and simulation of atomization is challenging due to the existence of a wide range of length scales. This multiscale nature of atomization introduces a fundamental challenge to numerical simulation. A pathway to comprehensive modeling is still to be found. The present study proposes a multiscale multiphase flow model for atomization simulations, where the large-scale interfaces are resolved by the Volume-of-Fluid (VOF) method and the small droplets by the Lagrangian point-particle (LPP) model. Particular attention is focused on the momentum coupling between LPP and resolved flow and the conversion between droplets represented by VOF and LPP. A series of multiphase flow problems are considered to validate the model. The results obtained by a number of simulations are compared against direct numerical simulation (DNS) results and experimental data. In particular, the model is applied to simulate the gas-assisted atomization experiment, and the numerical results are compared to the experimental measurements for a quantitative validation.