An Advanced Model Based on Analytical and Computational Procedures for the Evaluation of Spraying Processes in Agriculture

This paper presents a computational model that considers the relationship between operational and physical conditions of the spraying process in agriculture machinery. The model has as outputs the droplets mean diameter and the spray angle produced by full cone nozzles, which are calculated using physical conditions such as nozzle geometric parameters, physical characteristics of the liquid to be sprayed and operational conditions such as operating pressure and flow, speed of the sprayer and rate of application. With the developed computational model, the effects of the output orifice diameter and sprayer speed over the droplet mean diameter and the spray cone angle are studied. Simulation results are presented and discussed.