基于POA-BP的TP2管材自由弯曲成形结果预测  被引量:4

Prediction of free bending forming result of TP2 pipe based on POA-BP

在线阅读下载全文

作  者:郝用兴[1,2] 张旭浩 刘亚辉 HAO Yongxing;ZHANG Xuhao;LIU Yahui(North China University of Water Resources and Electric Power,Zhengzhou 450045,CHN;Henan Digital Intelligent Equipment Engineering Research Center,Zhengzhou 450064,CHN)

机构地区:[1]华北水利水电大学,河南郑州450045 [2]河南省数字化智能装备工程研究中心,河南郑州450064

出  处:《制造技术与机床》2024年第2期122-128,共7页Manufacturing Technology & Machine Tool

基  金:2021河南省重点科技计划项目(212102210347);华北水利水电大学客座教授基金(4001-40734)。

摘  要:将壁厚减薄率和椭圆率作为管材自由弯曲成形结果的评价指标,选取弯曲模与管材间隙值、弯曲模圆角半径值、管材弯曲变形区长度、导向机构圆角半径值、导向机构与管材间隙值作为影响因子。利用数值模拟方法对管材自由弯曲成形结果的评价指标和影响因子建立样本库,并随机选取6组作为测试样本,其余的作为训练样本,结合BP神经网络和鹈鹕优化算法对预测模型进行训练,构建POA-BP神经网络预测模型对管材自由弯曲成形结果进行预测。结果表明,POA-BP预测模型的壁厚减薄率和椭圆率的最大预测误差不超过2%,故POA-BP预测模型能够有效预测管材成形结果。The wall thickness thinning rate and ellipticity are selected as evaluation criteria for the free bending forming results of the pipe.The influencing factors include the gap between the bending die and the pipe,the radius of the corner of the bending die,the length of the bending deformation zone of the pipe,the radius of the corner of the guide mechanism,and the gap between the guide mechanism and the pipe.A sample library for the evaluation criteria and influencing factors of free bending of pipes is established using numerical simulation method.Six random groups are selected as test samples,while the remaining samples are used for training.The POA-BP neural network prediction model is constructed by combining the BP neural network and the Pelican optimization algorithm to predict the free bending forming results of pipes.The results show that the maximum prediction error of the wall thickness reduction rate and ellipticity of the POA-BP prediction model does not exceed 2%.Therefore,the POA-BP prediction model can effectively predict the pipe forming results.

关 键 词:管材 自由弯曲 评价指标 神经网络 预测 

分 类 号:TG306[金属学及工艺—金属压力加工]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象