Perpustakaan Digital ITB

This thesis presents a comprehensive investigation into the drift parametrization of a hollow cone sprayer under crossflow conditions, employing Computational Fluid Dynamics (CFD) and System Identification analysis. Spray drift, defined as the unintended movement of droplets away from the target area, poses significant challenges to agricultural efficiency and environmental protection. This study utilizes CFD simulations to explore droplet behavior, emphasizing key variables such as deposition accuracy, efficiency, and effectiveness. The model incorporates critical factors, including droplet breakup and interactions with turbulent airflows. Advanced particle modeling techniques are used to simulate the dynamics of individual droplets, providing a granular understanding of their trajectories and interactions.Validation of the CFD model is rigorously conducted through cross-referencing with existing literature and experimental data from prior studies, ensuring the reliability and precision of the simulation outcomes. The research culminates in the development of a semi-empirical drift parametrization model, capable of predicting spray efficiency, effectiveness, and accuracy based on operational parameters such as wind speed, nozzle inclination and spray height. The insights gained from this study contribute to a deeper understanding of spray drift mechanisms Ultimately, this work supports the advancement of precision agriculture by promoting efficient pesticide use and enhancing environmental sustainability.