热轧轧制压力横向分布规律及预测模型
发布时间：2018-09-08 21:08
【摘要】：轧制压力横向分布规律对快速轧辊轧件一体化模型的建立、轧辊磨损及辊形预测具有重要的意义。为简洁有效地描述轧制压力横向分布,提出了轧制压力横向分布表征指标,即边中比、高次程度、一次非对称度及三次非对称度。通过有限单元法建立了轧件三维弹塑性变形模型,并根据实测数据对模型边界条件进行设置,研究了不同因素影响下的轧制压力横向分布规律。考虑到各生产因素对轧制压力横向分布的影响不完全独立,不易获得函数表达式,以多组工况下有限元仿真结果为基础,建立多生产因素影响下的轧制压力横向分布人工神经网络预测模型,为轧辊轧件一体化快速计算模型的建立奠定了基础。
[Abstract]:The law of transverse distribution of rolling pressure is of great significance to the establishment of integrated model of rapid roll, roll wear and roll shape prediction. In order to describe the transverse distribution of rolling pressure succinctly and effectively, the index of lateral distribution of rolling pressure is presented, that is, the middle ratio of edge, the degree of high degree of asymmetry, the degree of primary asymmetry and the degree of cubic asymmetry. The three-dimensional elastic-plastic deformation model of rolled piece is established by finite element method. The boundary conditions of the model are set up according to the measured data, and the transverse distribution of rolling pressure under the influence of different factors is studied. Considering that the influence of various production factors on the transverse distribution of rolling pressure is not completely independent and it is not easy to obtain the functional expression, it is based on the finite element simulation results under multiple working conditions. An artificial neural network model for predicting the transverse distribution of rolling pressure under the influence of multiple production factors was established, which laid a foundation for the rapid calculation model of roll workpiece integration.
【作者单位】： 北京科技大学机械工程学院;武汉钢铁股份有限公司热轧总厂;
【基金】：国家“十二五”科技支撑计划资助项目(2015BAF30B01)
【分类号】：TG335.11
本文编号：2231701
[Abstract]:The law of transverse distribution of rolling pressure is of great significance to the establishment of integrated model of rapid roll, roll wear and roll shape prediction. In order to describe the transverse distribution of rolling pressure succinctly and effectively, the index of lateral distribution of rolling pressure is presented, that is, the middle ratio of edge, the degree of high degree of asymmetry, the degree of primary asymmetry and the degree of cubic asymmetry. The three-dimensional elastic-plastic deformation model of rolled piece is established by finite element method. The boundary conditions of the model are set up according to the measured data, and the transverse distribution of rolling pressure under the influence of different factors is studied. Considering that the influence of various production factors on the transverse distribution of rolling pressure is not completely independent and it is not easy to obtain the functional expression, it is based on the finite element simulation results under multiple working conditions. An artificial neural network model for predicting the transverse distribution of rolling pressure under the influence of multiple production factors was established, which laid a foundation for the rapid calculation model of roll workpiece integration.
【作者单位】： 北京科技大学机械工程学院;武汉钢铁股份有限公司热轧总厂;
【基金】：国家“十二五”科技支撑计划资助项目(2015BAF30B01)
【分类号】：TG335.11
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