微量元素对铁硅合金中C原子扩散影响的第一性原理研究

IF 2.9 4区 工程技术 Q1 MULTIDISCIPLINARY SCIENCES
Cunwang Li, Haibin Cai, Cuijiao Ding, Fuyong Su
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引用次数: 0

摘要

脱碳对 Fe-Si 合金产品的质量非常重要。脱碳效率越高,含碳量越低,Fe-Si 合金产品在使用过程中的磁性能就越好。本文采用第一性原理研究了 Fe-Si 合金中微量元素(Al、Cr、Cu、Mn、Ni、P、S、Si)对 C 原子扩散的影响,并计算了 C 原子的扩散能垒、扩散活化能和扩散系数。结果表明,Fe-Si 合金中的微量元素 Mn 和 P 能促进 C 原子的扩散。通过调整 Mn 和 P 的含量,可以提高 Fe-Si 合金的脱碳效率,优化脱碳过程。温度和扩散活化能影响 C 原子的扩散系数。温度的升高和扩散活化能的降低会导致 C 原子扩散系数的增加,最终提高脱碳效率。本文的研究结论可用于改进 Fe-Si 合金的脱碳工艺,提高脱碳效率,改善 Fe-Si 合金的产品质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
First‐Principles Study on the Effect of Trace Elements on the Diffusion of C Atoms in Fe‐Si Alloy
Decarburization is very important to the quality of Fe−Si alloy products. The higher the decarburization efficiency, the lower the carbon content, and the better the magnetic properties of Fe−Si alloy products during use. In this paper, the effects of trace elements (Al, Cr, Cu, Mn, Ni, P, S, Si) in Fe−Si alloy on the diffusion of C atoms are studied by first‐principles, and the diffusion energy barrier, diffusion activation energy and diffusion coefficient of C atoms are calculated. The results show that the trace elements Mn and P in Fe−Si alloy can promote the diffusion of C atoms. By adjusting the content of Mn and P, the decarburization efficiency of Fe−Si alloy can be improved and the decarburization process can be optimized. Temperature and diffusion activation energy affect the diffusion coefficient of C atoms. The increase of temperature and the decrease of diffusion activation energy leads to the increase of diffusion coefficient of C atoms, and finally improve the decarburization efficiency. The research conclusions of this paper can be used to improve the decarburization process of Fe−Si alloy, improve the decarburization efficiency, improve the quality of Fe−Si alloy products.
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来源期刊
Advanced Theory and Simulations
Advanced Theory and Simulations Multidisciplinary-Multidisciplinary
CiteScore
5.50
自引率
3.00%
发文量
221
期刊介绍: Advanced Theory and Simulations is an interdisciplinary, international, English-language journal that publishes high-quality scientific results focusing on the development and application of theoretical methods, modeling and simulation approaches in all natural science and medicine areas, including: materials, chemistry, condensed matter physics engineering, energy life science, biology, medicine atmospheric/environmental science, climate science planetary science, astronomy, cosmology method development, numerical methods, statistics
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