Validation strategy of reduced-order two-fluid flow models based on a hierarchy of direct numerical simulations

In industrial applications, the use of reduced-order models to conduct numerical simulations on realistic configurations as a predictive tool strengthen the need of assessing them. In the context of cryogenic atomization, we propose to build a validation strategy of large scale two fluid models with subscale modelling based on a hierarchy of direct numerical simulation test cases to qualitatively and quantitatively assess these models. In the present work, we propose a validation of these reduced-order model relying on DNS on an hierarchy of specific test cases. We propose in this work to investigate an air-assisted water atomization using a planar injector. This test case offers an atomization regime, which makes it worthy to eventually validate our reduced-order models on a cryogenic coaxial injection.