The Boundary Integral Equation for Kinetically Limited Dendrite Growth

IF 1.9 3区 数学 Q1 MATHEMATICS, APPLIED Axioms Pub Date : 2023-10-28 DOI:10.3390/axioms12111016
Ekaterina A. Titova, Peter K. Galenko, Margarita A. Nikishina, Liubov V. Toropova, Dmitri V. Alexandrov
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Abstract

The boundary integral equation defining the interface function for a curved solid/liquid phase transition boundary is analytically solved in steady-state growth conditions. This solution describes dendrite tips evolving in undercooled melts with a constant crystallization velocity, which is the sum of the steady-state and translational velocities. The dendrite tips in the form of a parabola, paraboloid, and elliptic paraboloid are considered. Taking this solution into account, we obtain the modified boundary integral equation describing the evolution of the patterns and dendrites in undercooled binary melts. Our analysis shows that dendritic tips always evolve in a steady-state manner when considering a kinetically controlled crystallization scenario. The steady-state growth velocity as a factor that is dependent on the melt undercooling, solute concentration, atomic kinetics, and other system parameters is derived. This expression can be used for determining the selection constant of the stable dendrite growth mode in the case of kinetically controlled crystallization.
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动力学受限枝晶生长的边界积分方程
在稳态生长条件下,对定义固/液弯曲相变边界界面函数的边界积分方程进行了解析求解。该解描述了在过冷熔体中以恒定的结晶速度演变的枝晶尖端,结晶速度是稳态和平移速度的总和。枝晶尖端以抛物线、抛物面和椭圆抛物面的形式被考虑。考虑到这一解,我们得到了描述过冷二元熔体中图案和枝晶演变的修正边界积分方程。我们的分析表明,当考虑动力学控制的结晶场景时,枝晶尖端总是以稳态方式进化。导出了稳态生长速度作为依赖于熔体过冷、溶质浓度、原子动力学和其他系统参数的因素。该表达式可用于确定动力学控制结晶情况下稳定枝晶生长方式的选择常数。
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来源期刊
Axioms
Axioms Mathematics-Algebra and Number Theory
自引率
10.00%
发文量
604
审稿时长
11 weeks
期刊介绍: Axiomatic theories in physics and in mathematics (for example, axiomatic theory of thermodynamics, and also either the axiomatic classical set theory or the axiomatic fuzzy set theory) Axiomatization, axiomatic methods, theorems, mathematical proofs Algebraic structures, field theory, group theory, topology, vector spaces Mathematical analysis Mathematical physics Mathematical logic, and non-classical logics, such as fuzzy logic, modal logic, non-monotonic logic. etc. Classical and fuzzy set theories Number theory Systems theory Classical measures, fuzzy measures, representation theory, and probability theory Graph theory Information theory Entropy Symmetry Differential equations and dynamical systems Relativity and quantum theories Mathematical chemistry Automata theory Mathematical problems of artificial intelligence Complex networks from a mathematical viewpoint Reasoning under uncertainty Interdisciplinary applications of mathematical theory.
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