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Automatized Evaluation of Decarburisation Profiles for the Determination of Carbon Diffusivities in Steels

机译:用于确定钢中碳扩散率的脱碳曲线的自动评估

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The composition-dependent diffusion coefficient of carbon in austenitic rolling bearing steel SAE 52100 was determined at the common austenitising temperature of 1123 K by application of the isothermal powder-pack decarburisation experimental technique, which ensures a diffusion-controlled process. Mathematical analysis of the concentration-distance curve, obtained by means of a novel measuring method based on secondary ion mass spectrometry (SIMS), was performed in the framework of an automatized evaluation tool. A finite element code, which permitted simulation of the austenite-ferrite phase transformation occurring in the rim zone of the sample by a step in the diffusivity-concentration relationship, was utilized for recurrent calculations of carbon distributions covering defined value ranges of the fitting parameters. In this computation cycle, usual linear and exponential expressions for the concentration dependence of the diffusion coefficient were used. Comparison with the SIMS data was carried out by automatically rating each calculated depth profile according to the least-squares method. The best fit quantitatively described the measured decarburisation profile. The following expression for the concentration (c_c in wt.%) dependence of the carbon diffusivity in austenitic SAE 52100 (D_γ in cm~2/s) was derived: D_γ=4.4+0.6x c_c. This result can be compared with data on the binary Fe-C system reported previously.
机译:奥氏体滚动轴承钢SAE 52100中碳的成分依赖性扩散系数是通过应用等温粉末包装脱碳实验技术在1123 K的通用奥氏体化温度下确定的,从而确保了扩散受控的过程。在自动评估工具的框架内,通过基于二次离子质谱(SIMS)的新型测量方法对浓度-距离曲线进行了数学分析。有限元代码用于通过扩散-浓度关系中的阶跃模拟样品边缘区域中发生的奥氏体-铁素体相变,被用于循环计算覆盖拟合参数定义值范围的碳分布。在该计算周期中,使用了与扩散系数的浓度相关的常用线性和指数表达式。通过根据最小二乘法对每个计算出的深度剖面自动定级,与SIMS数据进行比较。最佳拟合定量描述了测得的脱碳曲线。得出以下关于奥氏体SAE 52100中碳扩散率的浓度(c_c,以重量%计)依赖性的表达式(D_γ以cm〜2 / s的形式):D_γ= 4.4 + 0.6x c_c。可以将该结果与先前报告的二元Fe-C系统上的数据进行比较。

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