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Influence of Carbon Equivalent Content on Phase Transformation During Inter-critical Heating of Dual Phase Steels Using Discrete Micro-scale Cellular Automata Model

机译:采用离散微尺度蜂窝自动机模型对双相钢际临界际加热期间相变碳的影响

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摘要

In this paper, a cellular automata method based model is proposed for simulating phase transformation kinetics of inter-critical heating of dual phase (DP) steel. This developed model deals with the kinetics of pearlite dissolution, ferrite transformation and austenite grain growth based on carbon diffusion process. Diffusion equation is discretized and solved by finite difference method whereas austenite grain growth is controlled by transition rules applied in cellular automata algorithm. The model is operated in the temperature range of 730-890 degrees C for four different specimens of DP steel. This model predicts appropriately the microstructure and volume fraction of formed austenite during inter-critical heating of DP steel. In addition, this study shows that the presence of carbon and alloying elements enhances carbon equivalent of DP steel, helps in austenite formation.
机译:本文提出了一种基于蜂窝自动机方法的模型,用于模拟双相(DP)钢的关键术间加热的相变动力学。 该开发模式涉及基于碳扩散过程的珠光体溶解,铁氧体转化和奥氏体谷物生长的动力学。 通过有限差异方法离散和解决扩散方程,而奥氏体晶粒生长是通过蜂窝自动机算法应用的过渡规则来控制。 该型号在730-890摄氏度C的温度范围内操作,用于四种不同的DP钢标本。 该模型在DP钢的间临界局部加热期间适当地预测形成奥氏体的微观结构和体积分数。 此外,该研究表明,碳和合金元素的存在增强了DP钢的碳当量,有助于奥氏体形成。

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