合金元素对Fe合金气体氮化速率影响的层次分析:DFT、微动力学和kMC研究

K. Kang, Soonho Kwon, Changsoo Lee, Doosun Hong, Hyuck-Mo Lee
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引用次数: 2

摘要

氮化是目前应用最广泛的一种提高钢力学性能的热化学表面处理方法。具体来说,气体氮化是一种低温工艺,可以高效生产高性能钢,但其缺点是需要大量的时间。为了提高氮化率,采用基于密度泛函理论(DFT)的分层微动力学和实时模拟,研究了铁(Fe)的表面合金化及其对铁氨(NH3)氮化的影响。首先,我们利用离散傅里叶变换研究了清洁和合金(Fe- x) Fe(100)表面上NH3分解和氮(N)扩散机制。在本研究中,合金元素包括过渡金属和元素周期表中的III至VI期元素被考虑用于基于dft的计算筛选。对于上一步提高氮化率的候选Fe-X体系,我们通过改变合金元素计算了每个基本反应步骤的所有能垒,并利用这些能垒进行了微动力学分析,以确定它们对氮化率的影响。在考虑热力学因素的基础上,对选定的候选合金进行了氮覆盖下氮化机理的DFT计算,并在此基础上进行了动力学蒙特卡罗(kMC)模拟,在实际氮化工艺条件下对结果进行了验证。通过分层方案,对实验中未能解释的合金元素对渗氮率的影响进行了理论分析和模拟,提出了提高渗氮率的最佳合金元素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hierarchical Analysis of Alloying Element Effects on Gas Nitriding Rate of Fe Alloys: A DFT, Microkinetic and kMC Study
Abstract Nitriding is the most widely employed thermochemical surface treatment to enhance the mechanical properties of steel. Specifically, gas nitriding, which is a low-temperature process for efficiently producing high-performance steels, has a disadvantage in that it consumes a large amount of time. To enhance the nitriding rate, we studied the surface alloying of iron (Fe) and its effect on ammonia (NH3) nitriding of Fe using a hierarchical protocol with density functional theory (DFT)-based microkinetics and real-time simulations. First, we considered the NH3 decomposition and nitrogen (N) diffusion mechanism on clean and alloyed (Fe-X) Fe (100) surfaces using DFT. In this study, the alloying elements including transition metals and period III to VI elements in the periodic table were considered for DFT-based computational screening. For the candidate Fe-X systems selected to improve the nitriding rate in the previous step, we calculated all the energy barriers for every elementary reaction step by varying the alloying elements and performed microkinetic analysis using those kinetic energy barriers to determine their influence on the nitriding rate. After adding consideration of thermodynamic factors, selected candidate alloys were subjected to detailed DFT calculations of the nitriding mechanism with N coverage, and based on these results, a kinetic Monte Carlo (kMC) simulation was performed to reconfirm the results under the actual nitriding process conditions. Through a hierarchical protocol, we performed a theoretical analysis and simulation of the effects of alloying elements on the nitriding rate that were not explained experimentally and suggested the best alloying element with the improved nitriding rate.
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