铸铁力学性能对原材料化学成分依赖性的建模

2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT) Pub Date : 2019-09-01 DOI:10.1109/STC-CSIT.2019.8929865

O. Tokova, Y. Savchenko

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引用次数: 1

摘要

解决了生铁化学成分对其极限抗拉强度、伸长率、冲击试验和布氏硬度等力学性能的影响问题。基于组合GMDH算法，构建了描述铸件质量的各指标对原材料组分质量分数的线性和非线性依赖关系模型。获得的模型使我们能够分析每种组分的质量分数的变化如何影响机械性能的每个变量。

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Modelling of Dependence of Mechanical Properties of Cast Iron on Chemical Composition of Raw Materials

The problem of the influence of the chemical composition of pig iron on its mechanical properties, such as ultimate tensile strength, elongation, impact test and hardness by Brinell solved. Based on the combinatorial GMDH algorithm, linear and nonlinear models of dependence of each of the indicators describing the quality of the casting on the mass fraction of components of raw materials are constructed. The obtained models allow us to analyze how changes in the mass fraction of each of the components affect each of the variables of mechanical properties.

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2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT)

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