Digital twins for electro-physical, chemical, and photonic processes

Digital twins for electro-physical, chemical, and photonic processes

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...

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Bibliographic Details
Main Authors: Guo, Yuebin, Klink, Andreas, Bartolo, Paulo, Guo, Grace Weihong
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2023
Subjects:
Engineering::Mechanical engineering
Digital Twin
Manufacturing Process
Online Access:https://hdl.handle.net/10356/170600
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Institution: Nanyang Technological University
Language: English
Description
Summary: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.

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