This study explores the time-shift technique for characterizing droplets in spray processes, focusing on size, velocity, and colloidal concentration. It presents a filtering method for detecting drops in time series data and develops a numerical model to measure colloidal concentration, showing strong agreement between modeled and actual signals.
