首页> 外文期刊>Metallurgical and Materials Transactions, A. Physical Metallurgy and Materials Science >Numerical Simulations of Carbon and Nitrogen Composition-Depth Profiles in Nitrocarburized Austenitic Stainless Steels
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Numerical Simulations of Carbon and Nitrogen Composition-Depth Profiles in Nitrocarburized Austenitic Stainless Steels

机译:碳氮共渗奥氏体不锈钢中碳氮分布深度分布的数值模拟

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摘要

Unusual composition-depth profiles have been observed after low-temperature nitrocarburi-zation of austenitic stainless steels. When nitridation is performed after carburization, the carbon concentration in the nitrogen diffusion zone is reduced from ≈10 to ≈2 at. pct. Conversely, the carbon concentration in advance of the nitrogen diffusion zone is as high as 10 at. pct. This has been called a "push" effect of nitrogen on carbon, but this concept is non-physical. The profiles can be better understood from conventional thermodynamic principles, recognizing that (1) diffusion always occurs in response to gradients in chemical potentials and (2) the diffusivity of interstitial solutes in austenite is strongly concentration dependent, increasing dramatically with higher solute concentrations. Parameters from the CALPHAD literature quantitatively indicate that interstitial nitrogen and carbon in austenitic stainless steel mutually increase their chemical potentials. Based on these data, we have conducted numerical simulations of composition-depth profiles that correctly account for the chemical potential gradients and the concentration dependence of the diffusion coefficients for nitrogen and carbon. The simulations predict the "push" effect observed on nitridation after carburization, as well as the corresponding composition-depth profiles for other scenarios, e.g., carburization followed by nitridation or simultaneous nitridation and carburization (nitrocarburization).
机译:奥氏体不锈钢在低温进行硝基碳氮共渗后,观察到了异常的成分深度分布。渗碳后进行氮化时,氮扩散区的碳浓度从≈10降低到≈2at。 pct。相反,氮扩散区之前的碳浓度高达10at。 pct。这被称为氮对碳的“推动”效应,但是这个概念是非物理的。从传统的热力学原理可以更好地理解这些轮廓,认识到(1)扩散总是响应于化学势的梯度而发生,并且(2)间隙溶质在奥氏体中的扩散率与浓度密切相关,并随着溶质浓度的增加而急剧增加。 CALPHAD文献中的参数定量表明,奥氏体不锈钢中的间隙氮和碳会相互增加其化学势。基于这些数据,我们对成分-深度分布图进行了数值模拟,正确地说明了化学势梯度以及氮和碳扩散系数的浓度依赖性。该模拟预测了渗碳后在氮化中观察到的“推动”效应,以及在其他情况下例如渗碳接着氮化或同时渗氮和渗碳(氮碳共渗)的情况下相应的组成深度分布。

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