| Reference : Applying control volume finite element for modelling direct injection boom spraying flow |
| Scientific congresses and symposiums : Unpublished conference | |||
| Life sciences : Agriculture & agronomy Engineering, computing & technology : Computer science | |||
| http://hdl.handle.net/2268/71539 | |||
| Applying control volume finite element for modelling direct injection boom spraying flow | |
| English | |
| [en] Utilisation de la méthode des éléments de contrôle fini | |
El Aissaoui, Abdellah [ > > ] | |
Lebeau, Frédéric [Université de Liège - ULg > Gembloux Agro-Bio Tech > Gembloux Agro-Bio Tech >] | |
Destain, Marie-France [Université de Liège - ULg > Gembloux Agro-Bio Tech > Gembloux Agro-Bio Tech >] | |
Houmy, Karim [ > > ] | |
| 23-Jun-2009 | |
| No | |
| International | |
| WCCA 2009– World Congress on Computers in Agriculture | |
| June 22nd through the 24th 2009 | |
| ASABE | |
| Reno | |
| Nevada | |
| [en] Direct injection ; control volume method ; lag transport ; friction losses ; viscosity | |
| [en] Assessment of injection lag transport and uniformity of direct injection boom sprayer is an important issue for successful variable rate spraying technology. To estimate the boom lag transport and pressure loss, a numerical model is formulated on the basis of fluid hydrodynamic conservation equations. The software is implemented in visual basic. To solve the pressure – velocities equations, control volume finite element method (CV) is used to delimit elementary volumes of the boom. Linearization of the conservation laws is ensured by considering discrete form of the equations and calculating velocity and pressure step by step throughout the whole boom. The flow behaviour is simulated into a boom section divided into N elementary volumes, each of them including one nozzle.
To test the model, three boom diameters (5, 6 and 8 mm) and two chemical viscosities (10-6 and 10-5 m2/s) were used. Experimental trials are carried out on boom having 2.5 m length (5 nozzles) for measuring pressure gradient and lag transport. Results showed that the model can predict the pressure losses and the lag transport accurately (error within 5%) to optimize boom designs. | |
| Commission universitaire pour le Développement - CUD | |
| Researchers | |
| http://hdl.handle.net/2268/71539 |
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