A rapid generation method of models in machining processes for real-time human–machine interaction with virtual-real fusion
Author:
Funder
the National Key R&D Program of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00170-024-13736-z.pdf
Reference39 articles.
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2. Zhou Q, Yan P, Xin Y (2017) Research on a knowledge modelling methodology for fault diagnosis of machine tools based on formal semantics[J]. Adv Eng Inform 32:92–112. https://doi.org/10.1016/j.aei.2017.01.002
3. Gao Z, Zhang D (2015) Performance analysis, mapping, and multiobjective optimization of a hybrid robotic machine tool. IEEE Trans Ind Electron 62:423–433. https://doi.org/10.1109/TIE.2014.2327008
4. Shahriar MR, Al Sunny SN, Liu X, Leu MC, Hu L, & Nguyen NT (2018). MTComm based virtualization and integration of physical machine operations with digital-twins in cyber-physical manufacturing cloud. In 2018 5th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/2018 4th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom) (pp. 46–51). IEEE. https://doi.org/10.1109/CSCloud/EdgeCom.2018.00018.
5. Li J, Yao Y, Wu J (2011) CNC Partner: a novel training system for NC machining. Comp Applic In Engineering 19:466–474. https://doi.org/10.1002/cae.20326
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