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Jinfeng Liu 0005
Person information
- affiliation: Jiangsu University of Science and Technology, School of Mechanical Engineering, Zhenjiang, China
- affiliation: Southeast University, School of Mechanical Engineering, Nanjing, China
Other persons with the same name
- Jinfeng Liu — disambiguation page
- Jinfeng Liu 0001 — University of Alberta, Department of Chemical & Materials Engineering, Edmonton, AB, Canada (and 1 more)
- Jinfeng Liu 0002 — Nankai University, Center for Combinatorics and LPMC, Tianjin, China
- Jinfeng Liu 0003 — Gilead Sciences Inc, Foster City, CA, USA (and 2 more)
- Jinfeng Liu 0004 — China Pharmaceutical University, School of Basic Medical Sciences and Clinical Pharmacy, Nanjing, China (and 1 more)
- Jinfeng Liu 0006 — University of California, Irvine, Center for Embedded Computer Systems, CA, USA (and 1 more)
- Jinfeng Liu 0007 — Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, China
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2020 – today
- 2024
- [j13]Jinfeng Liu, Qiukai Ji, Xiaohu Zhang, Yu Chen, Yiming Zhang, Xiaojun Liu, Mingming Tang:
Digital twin model-driven capacity evaluation and scheduling optimization for ship welding production line. J. Intell. Manuf. 35(7): 3353-3375 (2024) - [j12]Jinfeng Liu, Qiukai Ji, Honggen Zhou, Chenxiao Du, Xiaojun Liu, Mingxuan Li:
A multi-dimensional evolution modeling method for digital twin process model. Robotics Comput. Integr. Manuf. 86: 102667 (2024) - 2022
- [j11]Jinfeng Liu, Xiaojian Wen, Honggen Zhou, Sushan Sheng, Peng Zhao, Xiaojun Liu, Chao Kang, Yu Chen:
Digital twin-enabled machining process modeling. Adv. Eng. Informatics 54: 101737 (2022) - [j10]Jinfeng Liu, Peng Zhao, Xuwen Jing, Xuwu Cao, Sushan Sheng, Honggen Zhou, Xiaojun Liu, Feng Feng:
Dynamic design method of digital twin process model driven by knowledge-evolution machining features. Int. J. Prod. Res. 60(7): 2312-2330 (2022) - [j9]Youhui Cai, Honggen Zhou, Jinfeng Liu, Xin Yuan, Tianhu Zhu, Shaofu Zou, Xiaojian Wen, Chenxiao Du, Dazhi Zhou:
Research on path generation and stability control method for UAV-based intelligent spray painting of ships. J. Field Robotics 39(3): 188-202 (2022) - 2021
- [j8]Jinfeng Liu, Xuwu Cao, Honggen Zhou, Lei Li, Xiaojun Liu, Peng Zhao, Jianwei Dong:
A digital twin-driven approach towards traceability and dynamic control for processing quality. Adv. Eng. Informatics 50: 101395 (2021) - [j7]Qiuyan Cai, Xuwen Jing, Yu Chen, Jinfeng Liu, Chao Kang, Bingqiang Li:
Online Monitoring of Ship Block Construction Equipment Based on the Internet of Things and Public Cloud: Take the Intelligent Tire Frame as an Example. KSII Trans. Internet Inf. Syst. 15(11): 3970-3990 (2021) - 2020
- [j6]Peng Zhao, Jinfeng Liu, Xuwen Jing, Mingming Tang, Sushan Sheng, Honggen Zhou, Xiaojun Liu:
The Modeling and Using Strategy for the Digital Twin in Process Planning. IEEE Access 8: 41229-41245 (2020) - [j5]Xuwen Jing, Mingming Tang, Jinfeng Liu, Honggen Zhou, Peng Zhao, Zhen Wang, Xuwu Cao, Sushan Sheng, Gang Wei:
Research on the intelligent generation method of MBD model 3D marking using predefined features. Concurr. Eng. Res. Appl. 28(3) (2020) - [j4]Honggen Zhou, Zhen Wang, Jinfeng Liu, Guizhong Tian, Xuwen Jing, Lei Li:
Research on block storage yard scheduling according to grid method. Concurr. Comput. Pract. Exp. 32(23) (2020) - [j3]Xuwen Jing, Yuping Zhu, Jinfeng Liu, Honggen Zhou, Peng Zhao, Xiaojun Liu, Guizhong Tian, Hua Ye, Qun Li:
Intelligent generation method of 3D machining process based on process knowledge. Int. J. Comput. Integr. Manuf. 33(1): 38-61 (2020)
2010 – 2019
- 2019
- [j2]Jinfeng Liu, Honggen Zhou, Xiaojun Liu, Guizhong Tian, Mingfang Wu, Liping Cao, Wei Wang:
Dynamic Evaluation Method of Machining Process Planning Based on Digital Twin. IEEE Access 7: 19312-19323 (2019) - 2018
- [j1]Jinfeng Liu, Xiaojun Liu, Zhonghua Ni, Honggen Zhou:
A new method of reusing the manufacturing information for the slightly changed 3D CAD model. J. Intell. Manuf. 29(8): 1827-1844 (2018) - 2014
- [c1]Jinfeng Liu, Xiaojun Liu, Yalong Cheng, Zhonghua Ni:
The backward growing method for constructing 3D process models in the machining process planning. IEEM 2014: 988-992
Coauthor Index
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