Study on springback behavior of carbon steel during single-point dieless forming based on neural network method
文献类型：会议论文
| 作者 | Ji Zhang; Feifei Zhang; Jianbin Ruan; Kai He |
| 出版日期 | 2018 |
| 会议日期 | 2018 |
| 会议地点 | Suzhou, China |
| 英文摘要 | Springback phenomenon is one of the most important factors affecting the machining accuracy in dieless forming processes and it has been studied by many scholars. Because of its highly nonlinear influence, there is no good numerical or analytical method to solve the springback problem. In this paper, accroding to the stamping experiments of strip sheet based on single point dieless forming machine tool, the effect of the stamping increment step and the stamping position on springback and the springback prediction method are studied. The experimental results show that the stamping increment step has little effect on springback, and when the stamping point is closer to the support position, the springback of the plate is smaller. Moreover, a neural network model (ANFIS model) based on experimental data is established to predict the springback and the effectiveness of this method is verified by testing. |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/13745]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 推荐引用方式 GB/T 7714 | Ji Zhang,Feifei Zhang,Jianbin Ruan,et al. Study on springback behavior of carbon steel during single-point dieless forming based on neural network method[C]. 见:. Suzhou, China. 2018. |
入库方式： OAI收割
来源：深圳先进技术研究院
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