EXTRACTION OF DROPLET GENEALOGIES FROM HIGH-FIDELITY ATOMIZATION SIMULATIONS
EXTRACTION OF DROPLET GENEALOGIES FROM HIGH-FIDELITY ATOMIZATION SIMULATIONS
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DOI：
10.1615/atomizspr.2020031624
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发表时间：
2018-11
影响因子：
1.2
通讯作者：
Roland Rubel;M. Owkes
中科院分区：
文献类型：
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作者：
Roland Rubel;M. Owkes
许多研究小组正在利用不断增加的计算资源和数值方法的进步，对雾化射流进行高保真模拟。这些高保真模拟产生极大的数据集来表征流动并能够更好地理解雾化。这些数据集的主要挑战之一是它们的规模很大，这需要开发工具来从中提取相关的物理现象。该项目的主要目标是创建一种物理提取技术来计算原子化谱系。该信息将表征相干液体核心分裂成液滴和韧带的过程，液滴和韧带可能会进一步分裂。该事件信息将与液滴尺寸、形状、流场特征等详细信息相结合。提取的信息将存储在数据库中，以便轻松快速地查询信息，以协助开发和测试与高保真模拟预测的物理一致的低保真雾化模型。
Many research groups are performing high-fidelity simulations of atomizing jets that are taking advantage of the continually increasing computational resources and advances in numerical methods. These high-fidelity simulations produce extremely large data-sets characterizing the flow and giving the ability to gather a better understanding of atomization. One of the main challenges with these data sets is their large size, which requires developing tools to extract relevant physics from them. The main goal of this project is to create a physics extraction technique to compute the genealogy of atomization. This information will characterize the process of the coherent liquid core breaking into droplets and ligaments which may proceed to break up further. This event information will be combined with detailed information such as droplet size, shape, flow field characteristics, etc. The extracted information will be stored in a database, allowing the information to be readily and quickly queried to assist in the development and testing of low-fidelity atomization models that agree with the physics predicted by high-fidelity simulations.