Abstract
Digital twin (DT) technology can realize the quality control of the dynamic cutting process by establishing the high-fidelity DT model, which has gradually become a hot spot in intelligent machining. Although some review articles have focused on DT, there is still a lack of clear and systematic analysis of DT-driven machining. To bridge this gap, this study conducted a state-of-the-art survey from the perspective of DT-driven machining (till 31-December-2022), covering a total of 145 selected publications. Firstly, the concepts of intelligent machining and DT-driven machining are classified. Then, the essential characteristics, operation processes, and services of the DT-driven machining system are analyzed and sorted out from three perspectives: point, line, and face. Moreover, according to the analysis of DT-driven machining, the potential research directions in the future are proposed from four aspects: high-fidelity reconstruction, collaboration, control granularity, and interactive mode. It is hoped to provide a holistic understanding of the DT-driven machining process to attract more open and in-depth discussions and research work in this field.
| Original language | English |
|---|---|
| Pages (from-to) | 361-378 |
| Number of pages | 18 |
| Journal | Journal of Manufacturing Systems |
| Volume | 67 |
| DOIs | |
| Publication status | Published - Apr 2023 |
Keywords
- Digital twin
- Intelligent machining
- Machining process
- Machining system
ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- Hardware and Architecture
- Industrial and Manufacturing Engineering
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