The use of a cluster-associate pattern for calculation of melt viscosity

IF 0.3 Q4 PHYSICS, MULTIDISCIPLINARY
A.Sh. Kazhikenova, D. B. Alibiyev, A. Smailova, R. Orazbekova, I. S. Kauymbek, Zh. Tentekbayeva
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引用次数: 0

Abstract

The liquid state of the substance is the most complex for theoretical description. Modern ideas about the liquid and its viscosity are reduced to the following: in the structure of the liquid, the spatial arrangement of atoms is not fixed, as in a crystal, and is not in a free state, as in a gas. Therefore, liquid may approach its properties to gas near the boiling point or the solid state near the melting point. Thus, the structure of the liquid is characterized by the short-range order of the bond. The properties of liquid metals are obtained mainly from experimental studies. This article provides mathematical justification for the cluster-associate pattern. The purpose of the study is to show the possibility of applying a semi-empirical model to calculate the viscosity of liquid metals. The proposed model is developed using the concept of chaotized particles, which is based on the Boltzmann distribution. This model is developed based on the association degree of clusters of their crystal-moving particles. For many years, the viscosity of liquid metals has been studied only by experimental methods. The model enables to find melt viscosity values analytically. The calculated viscosity values of some metals are compared to experimental values in this model. It is established that in all cases the obtained values coincide with the experimental values. The correctness of the proposed model is confirmed by the correlation coefficient. The application of the proposed model has been shown previously on some metals. In this work, we also show the applicability of the cluster-associate pattern using the example of beryllium, since it can be correlated with semimetals by many physicochemical properties. The degree of novelty of the scientific results lies in the fact that the obtained high correlation coefficients for the analysed metals indicate their functionality.
熔体粘度计算的簇-关联模式的使用
物质的液态是最复杂的理论描述。关于液体及其粘度的现代观念可以归结为:在液体的结构中,原子的空间排列不像在晶体中那样是固定的,也不像在气体中那样处于自由状态。因此,液体可能在沸点附近接近气体的性质,或在熔点附近接近固体的性质。因此,液体的结构以键的短程顺序为特征。液态金属的性质主要是通过实验研究得到的。本文提供了集群关联模式的数学依据。本研究的目的是展示应用半经验模型计算液态金属粘度的可能性。该模型采用混沌粒子的概念,基于玻尔兹曼分布。该模型是基于晶体运动粒子团簇的关联度建立的。多年来,液态金属的黏度一直是通过实验方法来研究的。该模型能够解析地求出熔体粘度值。在该模型中,对某些金属的黏度计算值与实验值进行了比较。在所有情况下,所得值都与实验值吻合。通过相关系数验证了模型的正确性。所提出的模型的应用已经在一些金属上得到了证明。在这项工作中,我们还以铍为例展示了簇-关联模式的适用性,因为它可以通过许多物理化学性质与半金属相关联。科学结果的新颖性在于所获得的分析金属的高相关系数表明它们的功能。
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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来源期刊
自引率
50.00%
发文量
32
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