| 首钢合金结构钢40CrA力学性能预报控制模型的开发与应用 |
| |
| 引用本文： | 宁林新,王凤琴,解家英. 首钢合金结构钢40CrA力学性能预报控制模型的开发与应用[J]. 钢铁, 2013, 48(3): 46-50 |
| |
| 作者姓名： | 宁林新 王凤琴 解家英 |
| |
| 作者单位： | 首钢技术研究院， 北京 100043 |
| |
| 摘 要： | 采用人工神经网络方法开发了首钢合金结构钢40CrA的力学性能预报模型，并采用Matlab和VC++两种软件平台建立了对应的力学性能预报系统。该预报系统投入现场在线应用后，通过预测值与实际抽样检验值的分析比较，表明该系统预报精度较高，屈服强度、伸长率等各项性能预报精度达到97%以上，能够满足生产检验要求。
|
| 关 键 词： | 合金结构钢 40CrA 力学性能预报模型 神经网络 |
| 收稿时间： | 2012-06-06 |
Development and Application of Mechanical Property Prediction Model of Alloy Structure Steel 40CrA in Shougang |
| |
| NING Lin-xin,WANG Feng-qin,XIE Jia-ying. Development and Application of Mechanical Property Prediction Model of Alloy Structure Steel 40CrA in Shougang[J]. Iron & Steel, 2013, 48(3): 46-50 |
| |
| Authors: | NING Lin-xin WANG Feng-qin XIE Jia-ying |
| |
| Affiliation: | Shougang Research Institutes of Technology, Beijing 100043, China |
| |
| Abstract: | The model was developed by using neural network method to predict the mechanical properties of alloy structure steel 40CrA. The visualized on-line prediction system was established by applying the software VC++ and Matlab software. From the application in practice, the system has the very high prediction reliability by comparison of predict values and measured ones. The precision of the prediction properties such as the yield strength and elongation achieves above 97%, which can meet the production demand. |
| |
| Keywords: | |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《钢铁》浏览原始摘要信息 |
|
点击此处可从《钢铁》下载全文 |
