The interaction of different alloying elements has a significant impact on the mechanical and microstructural properties of steel products due to the thermodynamic and kinetic effect. This article presents a statistically developed and validated model for austenite decomposition during cooling, based on a set of experimental continuous cooling transformation diagrams available in literature. In the model, two-way interactions of the alloying elements are included as add-on terms, and the procedure for the analysis ensures there is no overfitting. The model can be used to predict phase transformation temperatures and critical cooling rates for the formation of polygonal ferrite, bainite or martensite for the production of steel.

中文翻译：

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用于预测涉及合金元素相互作用的钢的 CCT 图的统计建模

由于热力学和动力学效应，不同合金元素的相互作用对钢制品的力学和显微组织性能有显着影响。本文基于一组文献中提供的实验性连续冷却转变图，提出了一种用于冷却过程中奥氏体分解的统计开发和验证模型。在模型中，合金元素的双向相互作用作为附加项包括在内，分析程序确保没有过度拟合。该模型可用于预测用于钢铁生产的多边形铁素体、贝氏体或马氏体形成的相变温度和临界冷却速率。