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结构钢中非金属夹杂物的散射指数对疲劳抗力系数的影响

Influence of the Scatter Index of Non-Metallic Inclusions in Structural Steel on the Fatigue Resistance Coefficient.

作者信息

Lipiński Tomasz

机构信息

Faculty of Technical Sciences, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland.

出版信息

Materials (Basel). 2023 Mar 30;16(7):2758. doi: 10.3390/ma16072758.

DOI:10.3390/ma16072758
PMID:37049052
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10095752/
Abstract

One of the main parameters characterizing steel is tensile strength. Conducting actual research is time consuming and expensive. For this reason, the technique uses simplified methods that allow one to quickly estimate the resistance of the material to fatigue. They are conducted mainly by computer methods. For the proper development of programs to determine the fatigue parameters of steel, solid data preparation is necessary. Unfortunately, some studies are performed on materials produced in laboratory conditions, which is only an approximation of the actual production conditions. Real alloys contain natural impurities which can affect their properties. Therefore, it is important to use real results obtained on an industrial scale for analysis including computer simulations. One of the important parameters that can be used to describe the properties of steel is the scatter index. It is the quotient of the average distance between the pollution and the average size of the pollution. This parameter makes it possible to take into account the fatigue strength of steel, taking into account the size of impurities and the distance between these impurities. The paper attempted to determine the scatter index and its impact on the fatigue resistance coefficient for steel melted in an industrial 140 ton electric furnace. The tests were carried out on structural steel with an average carbon content of 0.26%. The steel was hardened and tempered in all temperature tempering ranges (low, medium, and high). The fatigue resistance coefficient in the scatter index function was determined and discussed for each of the applied heat treatment parameters.

摘要

表征钢材的主要参数之一是抗拉强度。进行实际研究既耗时又昂贵。因此,该技术采用简化方法,使人们能够快速估算材料的抗疲劳性。这些方法主要通过计算机方式进行。为了正确开发用于确定钢材疲劳参数的程序,进行可靠的数据准备是必要的。不幸的是,一些研究是在实验室条件下生产的材料上进行的,而这只是实际生产条件的一种近似。实际合金含有天然杂质,这些杂质会影响其性能。因此,使用在工业规模上获得的实际结果进行分析(包括计算机模拟)很重要。可用于描述钢材性能的一个重要参数是散射指数。它是污染之间平均距离与污染平均尺寸的商。该参数能够在考虑杂质尺寸及其间距的情况下,考量钢材的疲劳强度。本文试图确定在一座140吨工业电炉中熔炼的钢材的散射指数及其对疲劳抗力系数的影响。试验在平均碳含量为0.26%的结构钢上进行。该钢材在所有温度回火范围(低温、中温和高温)下进行了淬火和回火处理。针对每个应用的热处理参数,确定并讨论了散射指数函数中的疲劳抗力系数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/608e/10095752/a56ad5ac9b21/materials-16-02758-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/608e/10095752/2bbfe3c9f62c/materials-16-02758-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/608e/10095752/ddaeb6c3deb9/materials-16-02758-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/608e/10095752/1161c09f8448/materials-16-02758-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/608e/10095752/af021b3f3778/materials-16-02758-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/608e/10095752/2483bd1e1905/materials-16-02758-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/608e/10095752/c2366543b348/materials-16-02758-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/608e/10095752/db356304c1d4/materials-16-02758-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/608e/10095752/cf8aac6ea4db/materials-16-02758-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/608e/10095752/a56ad5ac9b21/materials-16-02758-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/608e/10095752/2bbfe3c9f62c/materials-16-02758-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/608e/10095752/ddaeb6c3deb9/materials-16-02758-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/608e/10095752/1161c09f8448/materials-16-02758-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/608e/10095752/af021b3f3778/materials-16-02758-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/608e/10095752/2483bd1e1905/materials-16-02758-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/608e/10095752/c2366543b348/materials-16-02758-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/608e/10095752/db356304c1d4/materials-16-02758-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/608e/10095752/cf8aac6ea4db/materials-16-02758-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/608e/10095752/a56ad5ac9b21/materials-16-02758-g009.jpg

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