节点文献
基于神经网络的管件开式冷挤压相对伸长量预测
Prediction of relative Elongation of Thick-walled Tube based on ANN
【摘要】 为了预测各参数组合下的无芯棒开式冷挤压厚壁管件的伸长量,拓展开式冷挤压的实验结果,建立了无芯棒开式冷挤压厚壁管件的伸长量预测的神经网络模型。通过实验结果与预测结果的比较,二者吻合良好,为深入研究开式冷挤压工艺,建立开式冷挤压工艺设计专家系统提供了新的思路。
【Abstract】 In order to predict relative elongation of thick-walled tu be without mandrel and expand the experimental results of open-die col d extrusion, a valid neural network model of relative elongation predi ction is established. By comparing experimental results with predictio n data, they fit well, which provides a new method to research open-di e cold extrusion.and to create expert system of its technological design.
【关键词】 神经网络;
BP算法;
开式冷挤压;
相对伸长量;
【Key words】 neural network; BP algorithm; open-die cold extrusion; relative elongation.;
【Key words】 neural network; BP algorithm; open-die cold extrusion; relative elongation.;
- 【文献出处】 燕山大学学报 ,Journal of Yanshan University , 编辑部邮箱 ,2001年04期
- 【分类号】TG375.9
- 【下载频次】31