首页> 外文会议>Fourth International Conference on Recrystallization and Related Phenomena, Jul 13-16, 1999, Tsukuba City, Japan >A Mathematical Model to Predict Austenite Grain Size in Ti-Bearing Microalloyed Steels
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A Mathematical Model to Predict Austenite Grain Size in Ti-Bearing Microalloyed Steels

机译:预测含钛微合金钢中奥氏体晶粒尺寸的数学模型

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A mathematical model is proposed to predict the mean austenite grain size during reheating of Ti-bearing microalloyed steels. The model is derived based on the Zener approach. Effects of heterogeneity in austenite grain sizes in the initial (prior to coarsening) microstructure and size and shape of the pinning particles on the critical grain radius (R_c) are incorporated in the proposed model. The model is then solved by utilizing the models developed earlier which calculate particle coarsening and dissolution to arrive at the mean austenite grain radius during reheating as a function of reheating temperature and time. It is shown that the predicted austenite grain radius compares reasonably well with the experimental grain growth data for Ti-bearing microalloyed steels in as-cast slab as well as in controlled rolled plate conditions.
机译:提出了数学模型来预测含钛微合金钢再加热过程中的平均奥氏体晶粒尺寸。该模型基于齐纳方法得出。所提出的模型中考虑了奥氏体晶粒尺寸在初始(粗化之前)的不均匀性以及钉扎颗粒的尺寸和形状对临界晶粒半径(R_c)的影响。然后通过利用较早开发的模型求解该模型,该模型计算颗粒的粗化和溶出度,以得出再加热过程中平均奥氏体晶粒半径与再加热温度和时间的关系。结果表明,预测的奥氏体晶粒半径与铸态板坯以及控制轧制钢板条件下含钛微合金钢的实验晶粒生长数据相当吻合。

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