Computational investigation of micron-sized diesel droplet trains impinging on thin liquid films
ORAL
Abstract
We present 3D simulations of micron-sized diesel droplet trains impinging on pre-existing fuel films. The droplet size and impact velocity are representative of the impingement conditions during fuel injection in internal combustion engines. To study fuel injection under such conditions, Lagrangian-Eulerian solvers are generally used. However, they rely on spray-wall interaction sub-models to predict the surface impingement outcome of fuel droplets. Using droplet trains as an idealized spray, we will assess the accuracy of such sub-models. Using highly-resolved simulations the effects of pre-existing film thickness on the splashed mass ratio are quantified. The splashed mass ratio from our simulations is compared with predictions of commonly used spray-wall interaction sub-models. Furthermore, using passive scalars we quantify the contribution of each droplet to the liquid film and splashed liquid mass, providing unique insights into the post-impingement dynamics.
*This work is supported by the Department of Energy (EERE) and the Department of Defense (TARDEC), under Award Number DE‐EE0007292. The funding provided by the Massachusetts Clean Energy Center is gratefully acknowledged. The computing resources provided by XSEDE are also gratefully acknowledged.
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Presenters
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David Markt Jr
- Univ of Mass - Dartmouth