| 基于RBF神经网络的ZGMn13堆焊焊条的设计 |
| |
| 引用本文： | 刘政,周吉智.基于RBF神经网络的ZGMn13堆焊焊条的设计[J].常熟理工学院学报,2012,26(2):100-103. |
| |
| 作者姓名： | 刘政 周吉智 |
| |
| 作者单位： | 1. 徐州工程机械集团有限公司,江苏徐州,221004
2. 郑州三和水工机械有限公司,郑州,450121 |
| |
| 摘 要： | 提出了一种基于RBF神经网络的CaO—CaF2-SiO2渣系ZGMn13堆焊焊条配方优化设计方法．利用实验采集的数据对网络进行训练，以加工硬化后的硬度为优化目标，得到最优的焊条配方．实验结果表明：优化后熔敷金属的动载加工硬化性能和静载加工硬化性能良好。
|
| 关 键 词： | RBF神经网络 优化设计 堆焊焊条 ZGMn13 加工硬化 |
The Design of Hardfacing Electrode about ZGMn13 Based on Bayesian Neural Networks |
| |
| LIU Zheng,ZHOU Ji-zhi.The Design of Hardfacing Electrode about ZGMn13 Based on Bayesian Neural Networks[J].Journal of Changshu Institute of Technology,2012,26(2):100-103. |
| |
| Authors: | LIU Zheng ZHOU Ji-zhi |
| |
| Institution: | 1. Xuzhou Construction Machinery Group Co., Ltd, Xuzhou 221004, China;2. Zhengzhou Sanhe Hydraulic Machinery Co., Ltd, Zhengzhou 450121, China) |
| |
| Abstract: | To design a kind of hardfacing electrode about ZGMn13, a method of optimization design about electrode formulation with CaO-CaF2-SiO2 slag system is proposed based on RBF neural networks. The networks were trained with the data collected from experiments. Optimal formulation of electrode was achieved when the hardness after work hardening was considered as the optimal target. The results of the experiment show good performances of both dynamic load hardening and static load hardening. |
| |
| Keywords: | RBF neural network optimization design hardfacing electrode ZGMn 13 work hardening |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
