论文标题
从高保真模拟中有效提取雾化过程
Efficient Extraction of Atomization Processes from High-Fidelity Simulations
论文作者
论文摘要
了解液体喷气机中的一级和次要雾化的过程对于描述工业应用的喷雾分布和液滴几何形状至关重要，对于可以快速预测这些喷雾的基于物理的低保真雾化模型的开发至关重要。数值建模和计算资源的重大进展使研究小组可以进行详细的数值模拟，并准确预测雾化物理。这些模拟可以生成数百个数据的数据。这些数据集的大量规模限制了研究人员分析它们的能力。因此，即使存在完全描述射流动力学，也没有在模拟结果中分析相干液体核心分解成液滴的过程。本工作将液滴物理提取技术应用于高保真模拟，以跟踪与局部流量相关的分手事件和数据。关于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。结果提供了对雾化过程的强大，定量描述，局部流场的详细信息将有助于开发低保真雾化模型。
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.
