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.
收稿日期: 2012-06-06
出版日期: 2013-03-21
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.
NING Lin-xin,WANG Feng-qin,XIE Jia-ying. Development and Application of Mechanical Property Prediction Model of Alloy Structure Steel 40CrA in Shougang. Iron and Steel, 2013, 48(3): 46-50.
2013, Vol. 48 
