COMPUTER SIMULATIONS OF SPRAY RETENTION BY A 3D BARLEY PLANT: EFFECT OF FORMULATION SURFACE TENSION.

M Massinon, N De Cock, S Ouled Taleb Salah, F Lebeau
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Abstract

A spray retention model was used in this study to explore theoretically the effect of a range of mixture surface tension on the spray retention and the variability of deposits. The spray retention model was based on an algorithm that tested whether droplets from a virtual nozzle intercepted a 3D plant model. If so, the algorithm determined the contribution of the droplet to the overall retention depending on the droplet impact behaviour on the leaf; adhesion, rebound or splashing. The impact outcome probabilities, function of droplet impact energy, were measured using high-speed imaging on an excised indoor grown barley leaf (BBCH12) both for pure water (surface tension of 0.072 N/m) and a non-ionic super spreader (static surface tension of 0.021 N/m) depending on the surface orientation. The modification of spray mixture properties in the simulations was performed by gradually changing the spray the droplet impact probabilities between pure water and a solution with non-ionic surfactant exhibiting super spreading properties. The plant architecture was measured using a structured light scanner. The final retention was expressed as the volume of liquid retained by the whole plant relative to the projected leaf surface area in the main spray direction. One hundred simulations were performed at different volumes per hectare and flat-fan nozzles for each formulation surface tension. The coefficient of variation was used as indicator of variability of deposits. The model was able to discriminate between mixture surface tension. The spray retention increased as the mixture surface tension decreased. The variability of deposits also decreased as the surface tension decreased. The proposed modelling approach provides a suited tool for sensitivity analysis: nozzle kind, pressure, volume per hectare applied, spray mixture physicochemical properties, plant species, growth stage could be screened to determine the best spraying characteristics maximizing the retention. The model will be further extended with the real droplet trajectories in moving airstreams.

三维大麦植株喷雾滞留的计算机模拟:配方表面张力的影响。
本研究采用喷雾滞留模型,从理论上探讨了混合物表面张力范围对喷雾滞留和沉积物可变性的影响。喷雾保留模型基于一种算法,该算法测试了虚拟喷嘴中的液滴是否拦截了3D植物模型。如果是这样,则算法根据液滴对叶片的影响行为确定液滴对总体保留的贡献;粘附、回弹或飞溅。利用高速成像技术,在室内种植的大麦叶片(BBCH12)上对纯水(表面张力为0.072 N/m)和非离子超级喷雾器(静态表面张力为0.021 N/m)的影响结果概率(液滴撞击能量的函数)进行了测量,具体取决于表面方向。通过逐渐改变喷雾液滴在纯水和具有超扩散特性的非离子表面活性剂溶液之间的碰撞概率来改变模拟中喷雾混合物的性能。植物的结构是用结构光扫描仪测量的。最终截留量表示为整个植物相对于主喷雾方向投影叶表面积的液体截留量。在每公顷不同体积和平扇喷嘴下,对每种配方的表面张力进行了100次模拟。变异系数作为沉积物变异性的指标。该模型能够区分混合物表面张力。随着混合物表面张力的减小,喷雾滞留率增加。随着表面张力的减小,沉积物的变异性也随之减小。所提出的建模方法为敏感性分析提供了一个合适的工具:喷嘴种类、压力、每公顷施用体积、喷雾混合物的物理化学性质、植物种类、生长阶段可以筛选,以确定最佳的喷洒特性,最大限度地提高保留率。该模型将进一步扩展到实际运动气流中的液滴轨迹。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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