| Autor: |
Jihong Chen, Jianzhong Yang, Huicheng Zhou, Hua Xiang, Zhihong Zhu, Yesong Li, Chen-Han Lee, Guangda Xu |
| Jazyk: |
angličtina |
| Rok vydání: |
2015 |
| Předmět: |
|
| Zdroj: |
Engineering, Vol 1, Iss 2, Pp 247-260 (2015) |
| Druh dokumentu: |
article |
| ISSN: |
2095-8099 |
| DOI: |
10.15302/J-ENG-2015054 |
| Popis: |
Building cyber-physical system (CPS) models of machine tools is a key technology for intelligent manufacturing. The massive electronic data from a computer numerical control (CNC) system during the work processes of a CNC machine tool is the main source of the big data on which a CPS model is established. In this work-process model, a method based on instruction domain is applied to analyze the electronic big data, and a quantitative description of the numerical control (NC) processes is built according to the G code of the processes. Utilizing the instruction domain, a work-process CPS model is established on the basis of the accurate, real-time mapping of the manufacturing tasks, resources, and status of the CNC machine tool. Using such models, case studies are conducted on intelligent-machining applications, such as the optimization of NC processing parameters and the health assurance of CNC machine tools. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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