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ATOMIZATION CHARACTERISTICS OF HYDRAULIC NOZZLES USING FRACTAL GEOMETRY

机译:分形几何的液压喷嘴原子化特性

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Fractal scalings of the V(xX) ˜ X d type have been used in this work for cumulative volume (V) distribution applied through spray nozzles in size x droplets, smaller than the characteristic size X. From exponent d, the fractal dimension (D f ), which measures the degree of irregularity of the medium, has been deduced. This property consists of the repetition of the irregularity itself over a certain range of scales, and it is called self-similarity. The objects or sets that have this property are named fractals. Based on the considerations below, and supposing that the droplet set from a spray nozzle is self-similar, an algorithm has been developed to relate a nozzle type with a D f value. The data input for this algorithm were the droplet size spectra factors corresponding to 10%, 50%, and 90% (D v0.1 , D v0.5 , and D v0.9 , respectively) as measured at different operating pressures for different nozzle types. Multivariate, multilinear, and polynomial models were conducted to predict droplet size spectra factors based on D f and operating pressure (multilinear model) and based on D f , operating pressure, and orifice diameter (polynomial model). D f values showed dependence on nozzle geometry and independence of operating pressure. Significant coefficients of determination (r 2 ) at the 95% confidence level were found for the fitted models. An exception occurred in one case, associated with D v0.9 . Thus, r 2 values were higher for the polynomial models than for the multilinear models, except for a case associated with D v0.1 . These models could be useful to compare the behavior of different nozzles under the same operating conditions, or the same nozzle under different operating conditions. Because D f is related to nozzle geometry, the inclusion of D f in models to predict droplet size spectra factors will allow us to detect the geometric differences between nozzles, which are otherwise difficult to measure. Similar procedure could be carried out for other nozzles types
机译:V(x 类型的分形缩放比例已在这项工作中用于通过喷嘴以小于特征尺寸X的尺寸x液滴施加的累积体积(V)分布。从指数d推导了测量介质不规则度的分形维数(D f )。此属性包括不规则性本身在一定范围内的重复,称为自相似性。具有此属性的对象或集称为分形。基于以下考虑,并假设从喷嘴设置的液滴是自相似的,已开发出一种算法,以将喷嘴类型与D f 值相关联。该算法输入的数据是与10%,50%和90%(D v0.1 ,D v0.5 和D v0.9 ),分别针对不同的喷嘴类型在不同的工作压力下测量。进行了多元,多线性和多项式模型,以基于D f 和工作压力(多线性模型)以及基于D f ,工作压力和孔直径(多项式模型)。 D f 值显示出对喷嘴几何形状的依赖和工作压力的独立性。对于拟合模型,发现在95%置信水平下的重要确定系数(r 2 )。与D v0.9 关联的一种情况下发生了异常。因此,除与D v0.1 相关的情况外,多项式模型的r 2 值高于多线性模型。这些模型对于比较不同喷嘴在相同操作条件下或相同喷嘴在不同操作条件下的行为可能很有用。由于D f 与喷嘴的几何形状有关,因此在模型中包含D f 以预测液滴尺寸光谱因子将使我们能够检测喷嘴之间的几何差异,否则难以衡量。对于其他类型的喷嘴,可以执行类似的步骤

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