热轧轧制压力横向分布规律及预测模型

doi:10.13228/j.boyuan.issn0449-749x.20160473

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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。

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	柴箫君
	李洪波
	张杰
	周一中
	马珩皓
	张鹏武

关键词 ：热轧, 轧制压力, 横向分布, 有限元, 人工神经网络模型

Abstract：Transverse distribution of rolling force has great significance for the building of the integration model consisting of roller and rolled piece and the prediction of wear contour of work roller. In order to characterize the transverse distribution of rolling force， several indexes have been proposed：edge value to center value ratio，degree of high order，degree of linear asymmetry，degree of cubic asymmetry. A 3D elastic-plastic model based on the finite element method whose boundary condition was set up by the rolling force measured in the rolling spot has been built to study the transverse distribution with different rolling factors. Because of the combined action of all the factors，it is difficult to establish an explicit function. Therefore，instead of traditional mathematical function，an artificial neural network based on the FEM simulation results has been established，which lays an important foundation for the establishment of rapid integration model consisting of roller and rolled piece.

收稿日期: 2016-10-24 出版日期: 2017-06-09

PACS:

TG335.11

引用本文:

柴箫君，李洪波，张杰，周一中，马珩皓，张鹏武. 热轧轧制压力横向分布规律及预测模型[J]. 钢铁, 2017, 52(6): 52-60. CHAI Xiao-jun，LI Hong-bo，ZHANG Jie，ZHOU Yi-zhong， MA Heng-hao，ZHANG Peng-wu. Transverse distribution law of rolling force and its prediction model in hot rolling. Iron and Steel, 2017, 52(6): 52-60.

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