Abstract
Manufacturing processes are becoming increasingly data-driven. Integrating manufacturing data and process models in real-time, a digital twin (DT) may function as an autonomous and dynamic digital replica. This, in turn, may enable manufacturers to not only understand and monitor a process but also proactively control it in real-time or a product over its life cycle. This paper examines the DT concept and its evolution and presents a future DT framework. DTs’ key components (e.g., process models) and implementation are focused on additive manufacturing, electrical discharge machining, and electrochemical machining. Furthermore, current challenges and future research directions are summarized.
Original language | American English |
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Pages (from-to) | 593-619 |
Number of pages | 27 |
Journal | CIRP Annals |
Volume | 72 |
Issue number | 2 |
DOIs | |
State | Published - Jan 2023 |
ASJC Scopus subject areas
- Mechanical Engineering
- Industrial and Manufacturing Engineering
Keywords
- Digital twin
- Industry 4.0
- Manufacturing process