节点文献
神经网络在渗碳20CrMnTi流变应力中的应用
The Application of Nerve Network in Flow-Strain of Carburized 20CrMnTi
【摘要】 比较了几种分析20CrMnTi 钢渗碳后流变应力的方法后,建立了20CrMnTi 钢渗碳后流变应力预测的神经网络模型。并用神经网络进行了模拟和预测,计算和分析结果表明,用神经网络进行20CrMnTi 钢渗碳后的流变应力分析是可行的,分析方法简单,预测精度较高。
【Abstract】 A few methods for the analysis of flow-strain of carburized 20CrMnTi steel were compared and the artificial nerve network model for the forecasting of the flow-strain of carburized 20CrMnTi steel were established, furthermore,the network was used for the emulation and analysis estimation of flow-strain of carburized 20CrMnTi steel.The result showed it was a feasible measure that used the artificial nerve network model to analyse the flow- strain of carburized 20CrMnTi steel.The method was simple,and the forecasting precision is high.
- 【文献出处】 弹箭与制导学报 ,Journal of Projectiles,Rockets,Missiles and Guidance , 编辑部邮箱 ,2003年S6期
- 【分类号】TP183
- 【下载频次】56