Project Description

In this collaborative study, both experimental and modeling studies were conducted to evaluate the spray characteristics. The spray and evaporation characteristics were investigated using two optical methods based on the chamber and injection conditions over time. The focused shadowgraphy technique was applied to capture the whole spray, including the gaseous phase, whereas the Mie scattering signal represents the liquid phase. To model the spray characteristics (spray angles and penetration lengths controlled by injection and chamber conditions), an Artificial Neural Network (ANN) was adopted. The ANN model was trained and validated with experimental datasets, demonstrating a good match between the predictions and measurements with lower MSE and MAPE values.