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基于BP网络的冷弯型钢轧后回弹预报模型
引用本文:胡斯尧,李立新,彭娟. 基于BP网络的冷弯型钢轧后回弹预报模型[J]. 武汉科技大学学报(自然科学版), 2006, 29(5): 446-448
作者姓名:胡斯尧  李立新  彭娟
作者单位:武汉科技大学材料与冶金学院,湖北,武汉,430081
摘    要:运用冷弯型钢的现场实测数据,建立了基于BP网络的轧件轧后回弹预报模型;利用该模型的计算结果,得到回弹角与轧件厚度及轧辊锥角间的表格化模型及显式函数关系式。该模型及函数关系式可用于冷弯型钢的孔型设计。

关 键 词:冷弯型钢  BP网络  孔型设计
文章编号:1672-3090(2006)05-0446-03
收稿时间:2005-12-29
修稿时间:2005-12-29

Re-spring Forecast Model of Cold Roll-formed Sections Based on BP Neural Networks
HU Si-yao,LI li-xin,PENG Juan. Re-spring Forecast Model of Cold Roll-formed Sections Based on BP Neural Networks[J]. Journal of Wuhan University of Science and Technology(Natural Science Edition), 2006, 29(5): 446-448
Authors:HU Si-yao  LI li-xin  PENG Juan
Affiliation:College of Materials Science and Metallurgical Engineering, Wuhan University of Science and Techlology, Wuhan 430081, China
Abstract:The re-spring forecast model of workpiece based on BP neural network has been established by using the measured values of cold roll-formed sections. The table model and explicit function expression of re-spring angle with the primitive height and the primitive angle of the roll have also been obtained on the basis of the calculation results of the model. The table model and formula can be used in the pass design of cold roll- formed sections.
Keywords:cold roll-formed sections   BP neural network   pass design
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