Whereas direct numerical simulation (DNS) have reached a high level of description in the field of atomization processes, they are not yet able to cope with industrial needs since they lack resolution and are too costly. Predictive simulations relying on reduced order modeling have become mandatory for applications ranging from cryotechnic to aeronautic combustion chamber liquid injection. Two-fluid models provide a good basis in order to conduct such simulations, even if recent advances allow to refine subscale modeling using geometrical variables in order to reach a unified model including separate phases and disperse phase descriptions based on high order moment methods. The simulation of such models has to rely on dedicated numerical methods and still lacks assessment of its predictive capabilities. The present paper constitutes a building block of the investigation of a hierarchy of test-cases designed to be amenable to DNS while close enough to industrial configurations, for which we propose a comparison of two-fluid compressible simulations with DNS data-bases. We focus in the present contribution on an air-assisted water atomization using a planar liquid sheet injector. Qualitative and quantitative comparisons with incompressible DNS allow us to identify and analyze strength and weaknesses of the reduced-order modeling and numerical approach in this specific configuration and set a framework for more refined models since they already provide a very interesting level of comparison on averaged quantities.

中文翻译：

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基于直接数值模拟层次的降阶二流体流动模型的验证策略

虽然直接数值模拟 (DNS) 在雾化过程领域已经达到了很高的描述水平，但由于缺乏分辨率且成本太高，它们尚不能满足工业需求。对于从低温技术到航空燃烧室液体喷射的应用，依赖于降阶建模的预测模拟已成为强制性要求。两流体模型为进行此类模拟提供了良好的基础，即使最近的进展允许使用几何变量细化亚尺度建模，以达到基于高阶矩方法的包括分离相和分散相描述的统一模型。此类模型的模拟必须依赖专用的数值方法，并且仍然缺乏对其预测能力的评估。本论文构成了测试用例层次结构调查的一个组成部分，这些测试用例旨在适应 DNS，同时又足够接近工业配置，为此我们建议将两流体可压缩模拟与 DNS 数据库进行比较。我们目前的贡献集中在使用平面液体片喷射器的空气辅助水雾化上。与不可压缩 DNS 的定性和定量比较使我们能够识别和分析这种特定配置中降阶建模和数值方法的优势和劣势，并为更精细的模型设置框架，因为它们已经提供了非常有趣的平均数量比较水平. 为此，我们建议将两流体可压缩模拟与 DNS 数据库进行比较。我们目前的贡献集中在使用平面液体片喷射器的空气辅助水雾化上。与不可压缩 DNS 的定性和定量比较使我们能够识别和分析这种特定配置中降阶建模和数值方法的优势和劣势，并为更精细的模型设置框架，因为它们已经提供了非常有趣的平均数量比较水平. 为此，我们建议将两流体可压缩模拟与 DNS 数据库进行比较。我们目前的贡献集中在使用平面液体片喷射器的空气辅助水雾化上。与不可压缩 DNS 的定性和定量比较使我们能够识别和分析这种特定配置中降阶建模和数值方法的优势和劣势，并为更精细的模型设置框架，因为它们已经提供了非常有趣的平均数量比较水平.