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Computational modeling of phase transformations and mechanical properties during the cooling of hot rolled rod

机译:热轧棒冷却过程中相变和力学性能的计算模型

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Recently, great emphasis has been placed on controlled the cooling of hot rolled steel rods to achieve the desired microstructure and final mechanical properties. The approach is to develop the desired microstructure and temperature in the hot rolled rod and then transform it from the austenite phase to different volume fractions of martensite, bainite, pearlite and ferrite phases. This paper presents a computational approach to grain size evolution and finishing temperature predictions during the rolling process using Sellar' s evolution equations. This is followed by digitization of the continuous cooling curves to determine the volume fraction of various phases as the hot rolled rod transforms during the post rolling cooling. The mechanical properties are evaluated using the volume fractions of transformed phases using standard relationships for steels. These evolution-transformation-property relations are implemented in a 3D finite element program that uses a rigid-viscoplastic materials model and has a microstructure-based flow stress module. The efficacy of this approach is demonstrated by applying it to an eight pass square-to-round bar rolling sequence. Such an approach has been shown to be a powerful analysis tool that can be used as an inexpensive alternative to the traditional trial-and-error approach in roll pass design.
机译:近来,已经将很大的重点放在控制热轧钢棒的冷却上,以实现所需的显微组织和最终的机械性能。该方法是在热轧棒材中形成所需的显微组织和温度,然后将其从奥氏体相转变为不同体积分数的马氏体,贝氏体,珠光体和铁素体相。本文介绍了一种使用Sellar演化方程对轧制过程中晶粒尺寸演变和最终温度预测进行计算的方法。随后是连续冷却曲线的数字化,以确定在后轧冷却期间热轧棒转变时各个相的体积分数。使用钢的标准关系,使用相变的体积分数评估机械性能。这些演化-变换-属性关系在3D有限元程序中实现,该程序使用刚粘塑性材料模型并具有基于微结构的流应力模块。通过将其应用于八道次方圆轧制轧制序列,可以证明这种方法的有效性。事实证明,这种方法是一种强大的分析工具,可以用作轧制道次设计中传统试错法的廉价替代品。

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