Path optimization for open-contoured structures in Robotic Fibre Placement
文献类型：会议论文
| 作者 | Min Jiang1,2,3 ; Wu Baolin1,2,3; Feng Li1,2,3; Baolin Wu
|
| 出版日期 | 2017-06-30 |
| 会议日期 | May 19, 2017 - May 21, 2017 |
| 会议地点 | Hefei, China |
| 关键词 | Robotic Fibre Placement Composites Open-contoured Structure Path Optimization |
| DOI | 10.1109/YAC.2017.7967406 |
| 页码 | 207-212 |
| 英文摘要 | Robotic Fibre Placement (RFP) is widely used in manufacturing composites and path planning is essential to produce high-quality composites during the process. However, there is a lack of evaluation of path accuracy before laying, thus it’s hard to optimize path under theoretical guidance and the quality of composites cannot be theoretically guaranteed. To solve this problem, this article establishes a theoretical evaluation model of path based on its error and proposes a corresponding optimization method to improve the accuracy of path. By calculating the distance between the roller and the mould along the direction perpendicular to the path, a path error distribution model is acquired and its maximum, mean and variance are used to evaluate the path. Then, the orientation of the roller along path is optimized to minimizing the path error. Some simulation experiments are conducted and the optimization leads to a 63.4% and 69.0% reduction in the maximum and average path error respectively, which will improve the quality of composites. |
| 会议录 | Proceedings - 2017 32nd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2017
 |
| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/19780]  |
| 专题 | 精密感知与控制研究中心_精密感知与控制 |
| 通讯作者 | Baolin Wu |
| 作者单位 | 1.Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences 2.School of Computer and Control Engineering, University of Chinese Academy of Sciences 3.TianJin Intelligent Tech. Institute of Casia |
| 推荐引用方式 GB/T 7714 | Min Jiang,Wu Baolin,Feng Li,et al. Path optimization for open-contoured structures in Robotic Fibre Placement[C]. 见:. Hefei, China. May 19, 2017 - May 21, 2017. |
入库方式： OAI收割
来源：自动化研究所
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