| Control of liquid column height in electromagnetic casting with fuzzy neural network model |
| |
| 作者姓名： | 李朝霞 郑贤淑 |
| |
| 作者单位： | Research Center of Foundry Engineering，Dalian University of Technology，Dalian 116024，China |
| |
| 基金项目： | 高等学校博士学科点专项科研项目 |
| |
| 摘 要： | 1 ＩＮＴＲＯＤＵＣＴＩＯＮＤｕｒｉｎｇＥＭＣ ｐｒｏｃｅｓｓ,ｔｈｅｃｏｎｔｉｎｕｏｕｓｌｙ ｐｏｕｒｅｄｌｉｑｕｉｄｍｅｔａｌａｂｏｖｅｔｈｅｉｎｇｏｔｉｓｃｏｎｓｔｒａｉｎｅｄｂｙｔｈｅｅｌｅｃ ｔｒｏｍａｇｎｅｔｉｃｆｏｒｃｅａｎｄｆｏｒｍｓａｓｅｃｔ
|
| 关 键 词： | 电磁铸造 模糊神经网络 模式识别 液柱形状 |
Control of liquid column height in electromagnetic casting with fuzzy neural network model |
| |
| LI Zhao-xia,ZHENG Xian-shu.Control of liquid column height in electromagnetic casting with fuzzy neural network model[J].Transactions of Nonferrous Metals Society of China,2002,12(5):922-925. |
| |
| Authors: | LI Zhao-xia ZHENG Xian-shu |
| |
| Abstract: | The control of suitable and stable height of liquid column is the crucial point to operate the electromagnetic casting(EMC) process and to obtain ingots with desirable shape and dimensional accuracy. But due to the complicated interact parameters and special circumstances, the measure and control of liquid column are quite difficult. A fuzzy neural network was used to help control the liquid column by predicting its height on line. The results show that the stabilization of the height of liquid column and surface quality of the ingot are remarkably improved by using the neural network based control system. |
| |
| Keywords: | electromagnetic casting shape of liquid column fuzzy neural network pattern recognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
