Efficiency of applying cluster-associated model of viscosity of liquid metals

Abstract

To describe the viscosity up to the temperature transcendental polynomials with four or five adjustable parameters is often used, which devoid of physical meaning. As it is known, the extrapolation of these approximating dependencies is impossible more than for 25 % of the investigated interval in view unavoidable appearance, it is main characteristic of such polynomials, which are completely contrary to the monotonously decreasing character of the temperature dependence of viscosity. Usually, the experimental points are for the low-temperature region adjacent to the melting point, and especially for high-refractory metals. Meanwhile, the viscosity of each metal strongly depends on the temperature and when it get changed from the melting point to the boiling point decreases about four times. The aim of our research is to develop a generalized cluster- associated model of viscosity of liquid metals based on the concept of chaotized particles according to the degree of clusters association. In this work temperature dependence of viscosity according to the concept of the randomized particles is considered. Models of viscosity dependence on temperature taking into account various maintenance of particles are analysed: crystal-moving, fluid and steam-moving particles. The new cluster model of viscosity temperature dependence allowing to reveal behavior of viscosity in the wide range of temperatures is offered. Applicability of this model on the example of indium fusion is shown.