从高保真模拟中有效提取雾化过程
Efficient Extraction of Atomization Processes from High-Fidelity Simulations
摘要：
了解液体射流中的一次和二次雾化过程对于描述工业应用中的喷雾分布和液滴几何形状至关重要，并且对于开发基于物理的低保真雾化模型（可以快速预测这些喷雾）至关重要。数值建模和计算资源的重大进展使研究小组能够进行详细的数值模拟，并准确预测雾化的物理特性。这些模拟可以产生数百TB的数据。这些数据集的巨大规模限制了研究人员分析它们的能力。因此，在模拟结果中没有分析相干液核破碎成液滴的过程，即使存在完整的射流动力学描述。本工作应用液滴物理提取技术高保真模拟跟踪破碎事件和数据与当地流动。雾化过程的数据存储在Neo4j图形数据库中，提供了易于访问的格式。结果提供了一个强大的，定量描述的雾化过程和细节的局部流场将是有用的低保真度雾化模型的发展。
英文摘要：
Understanding the process of primary and secondary atomization in liquid jets is crucial in describing spray distribution and droplet geometry for industrial applications and is essential in the development of physics-based low-fidelity atomization models that can quickly predict these sprays. Significant advances in numerical modelling and computational resources allow research groups to conduct detailed numerical simulations and accurately predict the physics of atomization. These simulations can produce hundreds of terabytes of data. The substantial size of these data sets limits researchers' ability to analyze them. Consequently, the process of a coherent liquid core breaking into droplets has not been analyzed in simulation results even though a complete description of the jet dynamics exists. The present work applies a droplet physics extraction technique to high-fidelity simulations to track breakup events and data associated with the local flow. The data on the atomization process are stored in a Neo4j graphical database providing an easily accessible format. Results provide a robust, quantitative description of the process of atomization and the details on the local flow field will be useful in the development of low-fidelity atomization models.
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