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Prediction Models of the final properties of steel rods obtained by thermomechanical rolling process

机译:热机械轧制工艺获得的钢棒最终性能的预测模型

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摘要

The objective of this research project was the setting up of a numerical model able to predict the microstructure of rod rolled products which, taking into account the rolling schedule and cooling, is able to provide the mechanical and microstructural final characteristics. The model was developed starting from the theoretical knowledge proposed by many researchers who have dealt with these issues, and the experience gained in the design of rolling systems by Siemens-VAI. In order to allow the maximum working flexibility to the final user, the prediction model requires to fill in the thermomechanical conditions for rod rolling (preheating temperature, reduction pass, rolling temperatures, interpass time, strain rate and cooling profile); a database of more than 150 steel types was developed, containing CCT curves and the mechanical properties relative to the cooling rates. The tool provides the CCT curves, suitably modified to take into account the microstructure of the rolled, superimposed with the cooling trajectory set up by the operator, as well as mechanical and microstructural data of interest for that particular class of steel. The Model was validated by direct comparison with the properties of rod rolled products under controlled conditions, obtaining an excellent prediction capability.
机译:该研究项目的目的是建立一个能够预测棒材轧制产品微观结构的数值模型,该模型考虑到轧制进度和冷却条件,能够提供机械和微观结构的最终特性。该模型是从许多研究人员提出的理论知识出发,并从西门子奥钢联设计轧制系统的经验开始开发的。为了使最终用户获得最大的工作灵活性,预测模型需要填写棒材轧制的热机械条件(预热温度,压下道次,轧制温度,道次时间,应变率和冷却曲线);建立了150多种钢类型的数据库,其中包含CCT曲线和相对于冷却速率的机械性能。该工具提供的CCT曲线经过适当修改,可以考虑轧制的微观结构,并叠加有操作员设置的冷却轨迹,以及该类特殊钢所感兴趣的机械和微观结构数据。该模型通过与受控条件下的棒材轧制产品性能直接比较进行了验证,从而获得了出色的预测能力。

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