不同磷含量液态铁磷的微观结构演变与性能:分子动力学研究

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Chunhe Jiang, Bo Liu, Wang Liang, Jianliang Zhang, Kejiang Li
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引用次数: 0

摘要

随着高质量铁矿石的稀缺,高磷矿石越来越普遍,对钢铁质量的保持提出了挑战。磷已成为影响铁水流动性和钢产品质量的关键因素。因此,采用分子动力学方法分析了磷对铁液微观结构和性能的影响。该研究检测了1mol %、3mol %、5mol %和7mol %的磷含量,重点关注径向分布函数、配位数和均方位移等参数。结果表明,磷降低了黏度,破坏了Fe - Fe键,增加了Fe和P原子的自扩散系数。微观结构分析揭示了磷在形成复杂团簇中的作用,影响了铁液的局部结构顺序。该研究为磷在铁液中的行为提供了更深入的了解,为优化炼铁过程中的杂质控制和提高钢铁产品质量提供了见解。方法采用lammps软件,在1873 K下,采用带NVT系综的EAM电位进行分子动力学模拟。研究对象为铁磷熔体。根据P原子的具体数目,将铁晶体中的Fe原子随机替换为P原子,建立初始状态模型。采用ISAACS软件对Fe-P熔体的运动轨迹进行分析,包括结构因素、径向分布函数、配位数、键长、键角和微观团簇。此外,还分析了均方位移和原子扩散系数。计算的黏度与已发表文献的实验数据进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Microstructure evolution and properties of liquid Fe–P with different phosphorus content: molecular dynamic investigation

Context

With the scarcity of high-quality iron ore, high-phosphorus ores have become increasingly prevalent, posing challenges to maintaining the quality of steel. Phosphorus has emerged as a key factor affecting the fluidity of molten iron and the quality of steel products. Therefore, molecular dynamics method was conducted to analyze phosphorus’s impact on the microstructure and properties of liquid iron. The research examined phosphorus contents of 1 mol%, 3 mol%, 5 mol%, and 7 mol%, focusing on parameters like radial distribution functions, coordination numbers, and mean square displacements. Results showed that phosphorus decreases the viscosity, disrupts Fe–Fe bonds, and increases the self-diffusion coefficients of both Fe and P atoms. Microstructural analysis revealed phosphorus’s role in forming complex clusters, affecting the liquid iron’s local structural order. This research provides a deeper understanding of phosphorus behavior in liquid iron, offering insights for optimizing impurity control in ironmaking and enhancing the quality of steel products.

Method

Lammps software was conducted to do the molecular dynamics simulation using EAM potential with NVT ensemble at 1873 K. The research subject is Fe–P melts. The initial state model is created by randomly substituting Fe atoms in the iron crystal with P atoms based on the specific number of P atoms. The ISAACS software was used to analyze the trajectories of the Fe–P melt, including structural factors, radial distribution functions, coordination numbers, bond lengths, bond angles, and microscopic clusters. Additionally, mean square displacement and atomic diffusion coefficients are analyzed. The calculated viscosity is compared with experimental data from published literature.

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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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