Presenter: Karl Spinti
Authors: Jacob Spinti, David Lignell, Maisy Behrang
Faculty Advisor: David Lignell
Institution: Brigham Young University
Simulations for turbulent mixing of reacting flows have several uses and are a great help in modeling combustion. Several models exist for turbulent reacting flows, but these models have various issues. Simulating these flows can be costly due to the need for large numbers of grid points to accurately predict the chemistry of the flow. The HiPS model is easier to implement and has a lower cost to run. It also considers the chemistry of the mixing species and can be used for various species. It uses a hierarchical binary tree to model mixing and can capture large- and small-scale mixing through its approach to eddy events. It also can capture mixes with variable Schmidt numbers. This is useful in multiple applications, including the formation of soot. We are developing an open-source code for this model. We present an overview of the HiPs models, along with a description of the implementation, build process, and documentation for submission as an open-source code. Sample results for test cases are demonstrated.