Direct Correlation between Fluid Cluster Structure and Its Viscosity

A. Makasheva, V. P. Malyshev, L. Bekbayeva
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Abstract

The research purpose is to prove the probability of a direct quantitative correlation between proportion of the-se clusters and liquid viscosity. A quasi-polycrystalline clustering model of the liquid (in particular, melts) should be used. The Boltzmann distribution, the concepts of the chaotic particles and the virtual cluster size distribution should be applied to achieve this purpose. This study has analyzed the complete reference data on the temperature dependences of the dynamic viscosity for the alkali metals. As a result, a directly proportion-al correlation between viscosity and cluster content in liquid has been determined. It has provided the proba-bility for the quantitative concept of the quasi-polycrystalline clustering model on the liquid state of matter due to its properties. The concept of the chaotic particles in direct correlation to the Boltzmann distribution has been used as a basis. The Boltzmann energy spectrum has been used for the kinetic energy of the chaotic thermal particle motion in the solid, liquid and gaseous states of matter. As a result, their three energy classes have been distinguished with their presence in all aggregate states and in the sum constantly equal to one. Formulas to calculate the proportion of the virtually ordered clustering and complete chaotic fluid compo-nents have been deduced. These formulas have been derived with using the particle distributions by the energy class and cluster sizes.
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流体团簇结构与粘度的直接关系
研究的目的是为了证明se簇的比例与液体粘度之间存在直接定量关联的可能性。应该使用液体(特别是熔体)的准多晶聚类模型。波尔兹曼分布、混沌粒子的概念、虚拟簇大小分布等都是实现这一目的的必要条件。本研究分析了碱金属动态粘度随温度变化的完整参考数据。结果表明,粘度与液体中聚类含量成正比关系。由于物质液态的性质,它为准多晶聚类模型的定量概念提供了可能性。混沌粒子与玻尔兹曼分布直接相关的概念被用作基础。玻尔兹曼能谱已被用于物质在固体、液体和气体状态下的混沌热粒子运动的动能。结果,它们的三个能量等级被区分开来,它们存在于所有的聚合状态中,并且在总和中不断等于1。推导了虚拟有序聚类和完全混沌流体分量的比例计算公式。利用粒子的能量分布和簇大小,推导出了这些公式。
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