金属质量预测的数学模型

V. Volchuk, M. S. Shtandenko
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引用次数: 2

摘要

介绍。影响大型金属制品质量的因素很多,难以用无损控制方法对其进行评价。由于分形理论使得更充分地评估不同性质的复杂物体的结构成为可能,那么在微观结构水平上考虑将这一理论应用于更充分地评估金属结构元素的可能性。方法。在分析铸铁轧辊结构要素分形维数的基础上,建立了铸铁轧辊质量标准的数学模型。在此基础上对金属的分形维数进行了计算。现实意义。建立了铸铁轧辊的力学性能对其组织元素(珍珠岩、碳化物、石墨)分形维数的敏感性。强度指标对碳化物和石墨的分形维数最敏感。这种方法允许建立一个数学模型,该模型允许基于对结构元素尺寸最敏感指标的依赖,以5-7%的误差预测轧辊的机械性能。结论。通过对铸铁轧辊结构要素的分析,表明用分形模型可以描述铸铁轧辊的质量标准。
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Mathematical model of the metal quality forecast
Introduction . The quality of massive metal products is influenced by many factors, which makes it difficult to assess them by non-destructive methods of control. Since the theory of fractals makes it possible to more adequately evaluate the structure of complex objects of different nature, then the possibility of applying this theory to a more adequate assessment of elements of the structure of the metal at the microstructural level is considered. Method. The mathematical modeling of the quality criteria of cast iron rolls on the basis of analysis of the fractal dimension of elements of their structure is applied. The calculation of the fractal dimension of the metal was carried out on the basis of the developed methodology. Practical meaning. The sensitivity of the mechanical properties of cast-iron rollers to the fractal dimension of the elements of their structure (perlite, carbides, graphite) was established. The greatest sensitivity of the strength indicators was fixed to the fractal dimension of carbides and graphite. This approach allowed to construct a mathematical model that allows to predict the mechanical properties of rolls with an error of 5-7% based on their dependence on the most sensitive indicators of the dimension of structural elements. Conclusions. It is shown that the quality criteria of cast-iron rolls can be described by a fractal model based on the analysis of elements of their structure.
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