Using Machine Learning to Construct Velocity Fields from OH-PLIF Images
Using Machine Learning to Construct Velocity Fields from OH-PLIF Images
This work utilizes data-driven methods to morph a series of time-resolved experimental OH-PLIF images into corresponding three-component planar PIV fields in the closed domain of a premixed swirl combustor. The task is carried out with a fully convolutional network, which is a type of convolutional neural network (CNN) used in …