ID 125

Physics Extraction Techniques for High-Fidelity Atomization Simulations

 

Abstract:

Many research groups are capable of performing impressive high-fidelity simulations of atomizing jets that leverage advances to numerical methods and ever increasing computational resources. The simulations produce very large data-sets describing the flow and have the potential to advance our understanding of atomization. The challenge to making the results useful is extracting relevant physics from these large data-sets. In this work, we propose two physics extraction techniques that provide 1) the fundamental instabilities that exist on a jet's liquid core that dictate the largest structures generated during atomization and 2) the ancestry of droplets created as the coherent liquid core breaks into droplets and ligaments which may continue to break into smaller droplets. Understanding these processes will allow for low-fidelity atomization models to be developed and tested that agree with the physics predicted by detailed simulations.