中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共25条，第1-10条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
3D printing in materials manufacturing industry: A realm of Industry 4.0 期刊论文
HELIYON, 2023, 卷号: 9, 期号: 9, 页码: 20
作者:  Tamir, Tariku Sinshaw;  Xiong, Gang;  Shen, Zhen;  Leng, Jiewu;  Fang, Qihang;  Yang, Yong;  Jiang, Jingchao;  Lodhi, Ehtisham;  Wang, Fei-Yue
收藏  |  浏览/下载：62/0  |  提交时间：2024/02/21
3D printing  Additive manufacturing  Closed-loop control  Machine learning  Industry 4.0  
Deep learning based online metallic surface defect detection method for wire and arc additive manufacturing 期刊论文
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2023, 卷号: 80, 页码: 12
作者:  Li, Wenhao;  Zhang, Haiou;  Wang, Guilan;  Xiong, Gang;  Zhao, Meihua;  Li, Guokuan;  Li, Runsheng
收藏  |  浏览/下载：184/0  |  提交时间：2022/11/14
Wire and arc additive manufacturing  Defect detection  Online  Deep learning  
Machine-learning-based monitoring and optimization of processing parameters in 3D printing 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2022, 页码: 17
作者:  Tamir, Tariku Sinshaw;  Xiong, Gang;  Fang, Qihang;  Yang, Yong;  Shen, Zhen;  Zhou, MengChu;  Jiang, Jingchao
收藏  |  浏览/下载：210/0  |  提交时间：2023/01/09
Additive manufacturing  closed-loop  3D printing  digital manufacturing  machine learning  processing parameters  
Process Monitoring, Diagnosis and Control of Additive Manufacturing 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2022, 页码: 27
作者:  Fang, Qihang;  Xiong, Gang;  Zhou, MengChu;  Tamir, Tariku Sinshaw;  Yan, Chao-Bo;  Wu, Huaiyu;  Shen, Zhen;  Wang, Fei-Yue
收藏  |  浏览/下载：152/0  |  提交时间：2023/03/20
Additive manufacturing (AM)  in-situ monitoring  defect detection  fault diagnosis  closed-loop control  
Design and Optimization of a Control Framework for Robot Assisted Additive Manufacturing Based on the Stewart Platform 期刊论文
International Journal of Control, Automation and Systems, 2022, 卷号: 20, 期号: 3, 页码: 968-982
作者:  Tamir, Tariku Sinshaw;  Xiong,Gang;  Dong,Xisong;  Fang,Qihang;  Liu,Sheng;  Lodhi,Ehtisham;  Shen,Zhen;  Wang, Fei-Yue
Adobe PDF(3410Kb)  |  收藏  |  浏览/下载：339/158  |  提交时间：2022/04/07
Additive Manufacturing, Extended Proportion-Derivation Sliding Mode Controller, Grey Wolf Optimization, Print Quality, Stewart Platform  
A Feedback-Based Print Quality Improving Strategy for FDM 3D Printing: An Optimal Design Approach 期刊论文
The International Journal of Advanced Manufacturing Technology, 2022, 期号: 2022, 页码: 1-15
作者:  Tamir, Tariku Sinshaw;  Xiong, Gang;  Fang,Qihang;  Dong,Xisong;  Shen,Zhen;  Wang,Fei-Yue
Adobe PDF(2116Kb)  |  收藏  |  浏览/下载：218/53  |  提交时间：2022/04/07
Industry4.0, 3D Printing, Print Quality, Error Causing Parameters, Deformations, Fuzzy Inference System  
PCUNet: A Context-Aware Deep Network for Coarse-to-Fine Point Cloud Completion 期刊论文
IEEE Sensors Journal, 2022, 卷号: 22, 期号: 15, 页码: 15098-15110
作者:  Zhao, Meihua;  Xiong, Gang;  Zhou, MengChu;  Shen, Zhen;  Liu, Sheng;  Han, Yunjun;  Wang, Fei-Yue
Adobe PDF(4497Kb)  |  收藏  |  浏览/下载：117/20  |  提交时间：2023/06/27
A Point-Based Neural Network for Real-Scenario Deformation Prediction in Additive Manufacturing 会议论文
, 成都希尔顿酒店, 2022年8月
作者:  Zhao, Meihua;  Xiong, Gang;  Wang, Weixing;  Fang, Qihang;  Shen, Zhen;  Wan, Li;  Zhu, Fenghua
Adobe PDF(1495Kb)  |  收藏  |  浏览/下载：104/28  |  提交时间：2023/06/27
3D-RVP: A method for 3D object reconstruction from a single depth view using voxel and point 期刊论文
NEUROCOMPUTING, 2021, 卷号: 430, 期号: 2021, 页码: 94-103
作者:  Zhao, Meihua;  Xiong, Gang;  Zhou, MengChu;  Shen, Zhen;  Wang, Fei-Yue
Adobe PDF(1476Kb)  |  收藏  |  浏览/下载：280/34  |  提交时间：2021/03/29
3D object reconstruction  Encoder-decoder network  Machine learning  Point prediction network  
A Learning-Based Framework for Error Compensation in 3-D Printing 期刊论文
IEEE Transactions on Cybernetics, 2019, 卷号: 49, 期号: 11, 页码: 4042-4050
作者:  Shen Z(沈震);  Shang XQ(商秀芹);  Zhao MH(赵美华);  Xiong G(熊刚);  Wang FY(王飞跃)
浏览  |  Adobe PDF(3664Kb)  |  收藏  |  浏览/下载：345/86  |  提交时间：2019/09/25
3d Printing  Additive Manufacturing  Cyber Physical System (Cps)  Deep Learning  Error Compensation