This paper extends the overall energy balance (OEB) approach to the modeling of liquid drop spreading to cases where the primary motive force is hydrodynamic in nature. In such cases the mass, and therefore total energy, of the system varies with time thus invalidating previous OEB models. By relating the change in internal energy of the drop with the energy entering the system, changes in potential energy and work done by the system, a non-linear first-order ordinary differential equation has been developed which describes the drop spreading process for the case of a spherical cap of constant dynamic contact angle and constant mass flow rate. To provide validation data for the model, an experimental study has also been undertaken. In these experiments the Axisymmetric Drop Shape Analysis technique has been used to monitor the changing contact angle and contact radius of the drop as it advances across a solid surface. The solution of the ODE is shown to be in very good agreement with the experimental results, until such time as the drop grows to beyond the range where the spherical cap approximation is valid. A comparison of the magnitude of the energetic terms has revealed that the major deterrent to drop spreading is the work required to increase the surface area of the drop. In the case of slow speed spreading, it is shown that the viscous dissipation at the three-phase line is negligible, leading to a model completely free of any empirically determined curve fitting factors.
Precision Agriculture is a cyclic optimization process where data have to be collected from the field, analysed and evaluated and finally used for decision making for site-specific management of the field. Smart farming technologies (SFT) cover all these aspects of precision agriculture and can be categorized in data acquisition, data analysis and evaluation and precision application technologies. Data acquisition technologies include GNSS technologies, mapping technologies, data acquisition of environmental properties and machines and their properties. Data analysis and evaluation technologies comprise the delineation of management zones, decision support systems and farm management information systems. Finally, preci-
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.