PredNet and CompNet: Prediction and High-Precision Compensation of In-Plane Shape Deformation for Additive Manufacturing
Shen, Zhen1,2; Shang, Xiuqin1,2; Li, Yuqing4; Bao, Yin1; Zhang, Xipeng5; Dong, Xisong6; Wan, Li7; Xiong, Gang1,2,3; Wang, Fei-Yue1,2
2019-08-22
Conference Name2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)
Conference DateAugust 22-26, 2019
Conference PlaceVancouver, BC, Canada
Publisher2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)
Abstract

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 simulation
of the translation, scaling down and rotation deformation.
The minimum F1 scores of error prediction and compensation
can be up to 0.982.

Indexed ByEI
Funding ProjectNational Natural Science Foundation of China[61773382] ; National Natural Science Foundation of China[61773381] ; National Natural Science Foundation of China[61533019] ; China Guangdong's ST Project[2017B090912001] ; Guangdong Science and Technology Department[2016B090910001]
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/26150
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
Corresponding AuthorXiong, Gang
Affiliation1.the State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences
2.Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences
3.the Cloud Computing Center, Chinese Academy of Sciences
4.the University of Southern California
5.the School of Computer and Control Engineering, University of Chinese Academy of Sciences
6.the Qingdao Academy of Intelligent Industries
7.Beijing Ten Dimensions Technology Co., Ltd
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Shen, Zhen,Shang, Xiuqin,Li, Yuqing,et al. PredNet and CompNet: Prediction and High-Precision Compensation of In-Plane Shape Deformation for Additive Manufacturing[C]:2019 IEEE 15th International Conference on Automation Science and Engineering (CASE),2019.
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