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    应用极值分析法推测高碳铬轴承钢中最大夹杂物尺寸

    Estimation of Maximum Inclusion Size in High Carbon Chromium Bearing Steels by Extreme Value Analysis Method

    • 摘要: 高碳铬轴承钢中最大夹杂物尺寸对其疲劳寿命有重要影响。冶金工艺进步推动钢质洁净度不断提高,采用常规轧材夹杂物检验方法已不能满足轴承钢质量进一步提高的要求。研究并提出了一种轴承钢中夹杂物尺寸的分析方法——极值分析法,在金相试样尺寸及数量、夹杂物观察及尺寸计算、Gumbel分布函数的参数估计等多个方面进行了改进调整,使之实用化。在此基础上,采用该方法推测轴承钢轧材中的最大夹杂物尺寸,并用能谱仪分析了大尺寸夹杂物的元素成分。结果表明:基于Gumbel分布函数的极值分析法可以作为估计轴承钢中最大夹杂物尺寸的一种方法;控制B类粗系和DS类球形夹杂物,降低钢中的钛含量是进一步提高轴承钢产品质量的努力方向。

       

      Abstract: The maximum inclusion size in high carbon chromium bearing steels has an important effect on their fatigue life. With the improvement of steel cleanliness due to the progress of metallurgy process, the conventional inclusion rating method of rolled materials has not been able to meet the requirements for further improvement of bearing steel quality. A method for estimating the inclusion size in bearing steels-the extreme value analysis method, was studied and proposed. This method was adjusted in many aspects such as the size and quantity of metallographic samples, the observation and size calculation of inclusions and the parameter estimation of Gumbel distribution function, to make it practical. On this basis, the method was used to estimate the maximum inclusion size in the rolled material of bearing steel, and the compositions of the large-sized inclusions were analyzed by energy spectrometer. The results show that the extreme value analysis method based on Gumbel distribution function can be used to estimate the maximum inclusion size in bearing steels. Controlling B-type coarse and DS-type spherical inclusions and reducing the titanium content in steels are the efforts to further improve the quality of bearing steel products.

       

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