Research On Springback Control Based On GRNN-ES
Available Online April 2016.
- https://doi.org/10.2991/icmit-16.2016.80How to use a DOI?
- springback control; ANN; ES; optimization
- Springback is a kind of formation defect in punch machining. It can be decreased by adjusting the processing parameters. In this paper it put forward to optimize the parameters with response surface method. Firstly it built an artificial neural network for mapping the relation between the parameters and springback. Then it optimized the neural network model with evolution strategy. At last it would get the optimum of parameters after optimization. In order to get more precise parameters it modified the ANN and ES in this paper. Then it took a trial to certify the method. The results showed that the method proposed in this paper can decrease the springback effectively.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Zhaohu Deng PY - 2016/04 DA - 2016/04 TI - Research On Springback Control Based On GRNN-ES BT - 2016 3rd International Conference on Mechatronics and Information Technology PB - Atlantis Press SP - 447 EP - 450 SN - 2352-538X UR - https://doi.org/10.2991/icmit-16.2016.80 DO - https://doi.org/10.2991/icmit-16.2016.80 ID - Deng2016/04 ER -