Extraction of Droplet Genealogies from High-Fidelity Atomization Simulations

One of the main problems of current atomizing jets is the extreme difficulty to validate low-fidelity simulations with real world experiments.  High-fidelity simulations have allowed us to create higher accuracy simulations with easier validation. At the expense of being extremely computationally expensive and creating hundreds of terabytes of data. With this research we look at how the large data sets created by the high-fidelity models can be easily queried to aid in the validation of the less computationally expensive models for industry and gain a better understanding of what is occurring in the atomization process.  To accomplish this task we wrote a computer code to work within the high-fidelity models to gather the relevant data on droplet size, shape, flow field characteristics, etc. and created a large database that is easily quired for relevant information. We found that the computer code is allowing a genealogy of the droplets to be examined in the database showing where and how the droplets should be acting within different types of flow fields. With these findings the ability to modify low-fidelity simulations to a similar level of accuracy of the high-fidelity simulations with out the need for a supercomputer is possible.