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| 基于神经元网络的薄壁筒滚珠旋压成形缺陷诊断 | |
| 引用本文： | 江树勇,薛克敏,李春峰,张军.基于神经元网络的薄壁筒滚珠旋压成形缺陷诊断[J].锻压技术,2006,31(3):79-83. |
| 作者姓名： | 江树勇 薛克敏 李春峰 张军 |
| 作者单位： | 1. 哈尔滨工程大学,工程训练中心,黑龙江,哈尔滨,150001 2. 合肥工业大学,材料科学与工程学院,安徽,合肥,230009 3. 哈尔滨工业大学,材料科学与工程学院,黑龙江,哈尔滨,150001 |
| 摘 要： | 作为一种连续局部塑性成形工艺,滚珠旋压被应用于制造高强度、高精度的纵向内筋薄壁筒形件.通过使用铝合金作为旋压材料,在实验的基础上分析了滚珠旋压过程中金属材料非稳定流动的基本原理及旋压件产生表面质量缺陷的原因.以人工神经元网络为基础,对旋压件的表面质量缺陷进行了预测.实验证明,神经元网络能够精确地诊断旋压件的表面质量缺陷. |
| 关 键 词： | 滚珠旋压 强力旋压 神经元网络 铝合金 |
| 文章编号： | 1000-3940（2006）03-0079-05 |
| 收稿时间： | 2005-07-12 |
| 修稿时间： | 2005-07-12 |
Diagnosis of defects in ball spinning deformation of thin-walled tubular part based on ANN |
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| JIANG Shu-yong,XUE Ke-min,LI Chun-feng,ZHANG Jun.Diagnosis of defects in ball spinning deformation of thin-walled tubular part based on ANN[J].Forging & Stamping Technology,2006,31(3):79-83. | |
| Authors: | JIANG Shu-yong XUE Ke-min LI Chun-feng ZHANG Jun |
| Affiliation: | 1. Center for Engineering Training, Harbin Engineering University, Harbin Heilongjiang 150001, China; 2. School of Materials Seienee and Engineering, Hefei University of Teehnology, Hefei Anhui 230009, China; 3. School of Materials Seienee and Engineering, Harbin Institute of Teehnology, Harbin Heilongjiang 150001, China |
| Abstract: | As a successively and locally plastic deformation process,ball spinning is applied in order to manufacture high-strength and high-precision thin-walled tubular part with longitudinal inner ribs.By using aluminum alloy as spinning material,based on the experiments,not only the basic principle with respect to non-steady flow of metal material in ball spinning,but also the reasons for surface quality defects of the spun parts are analyzed.On the basis of artificial neural networks(ANN),the surface quality defects of the spun parts is predicted.Experiments have proved that ANN can predict and diagnose the surface quality defects of the spun part successfully. |
| Keywords: | ball spinning power spinning artificial neuron networks aluminum alloy |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |