Knowledge Commons of Institute of Automation,CAS
PredNet and CompNet: Prediction and High-Precision Compensation of In-Plane Shape Deformation for Additive Manufacturin | |
Zhen Shen; Shang XQ(商秀芹); Gang Xiong | |
2019-08 | |
会议名称 | IEEE International Conference on Automation Science and Engineering |
会议日期 | 2019 |
会议地点 | Vancouver, Canada |
摘要 | The error compensation for printed objects in additive manufacturing (AM) has always been one of the most critical problems. The precision control of the AM is usually more difficult than the subtractive manufacturing system, whose precision can reach the micron level easily by using a servo system. For the AM, there usually exist shrinkage and curling effects which lead to deformation. In this paper, we focus on the in-plane shape deformation problem, and we build the PredNet and CompNet, using deep neural networks for the error prediction and compensation. We test our methods on dental crown models. We generate deformed models by simulationofthetranslation,scalingdownandrotationdeformation. The minimum F1 scores of error prediction and compensation can be up to 0.982. |
收录类别 | EI |
七大方向——子方向分类 | 人工智能+制造 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/26143 |
专题 | 多模态人工智能系统全国重点实验室_平行智能技术与系统团队 |
通讯作者 | Gang Xiong |
作者单位 | 中国科学院自动化研究所 |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Zhen Shen,Shang XQ,Gang Xiong. PredNet and CompNet: Prediction and High-Precision Compensation of In-Plane Shape Deformation for Additive Manufacturin[C],2019. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
PredNet and CompNet (237KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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