Special Issue: Digital Twin-Driven Design and ManufacturingSource: Journal of Computing and Information Science in Engineering:;2021:;volume( 021 ):;issue: 003::page 030301-1DOI: 10.1115/1.4050982Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A digital twin (DT) is the real-time digital replica of a physical entity and system. It enables the seamless integration between digital models and physical devices so that the operation, monitoring, control, and upgrade of the system, as well as personnel training, can be performed in a cyber-physical mixture mode. DTs integrate technologies such as multiphysics multiscale modeling, Internet of Things, smart sensing, machine learning, and model-based control and act as a bridge between the physical world and the virtual world by mapping the whole life cycle of physical systems with real-time sensor data, and maintaining the complete digital trace. In the era of Industry 4.0, DT is becoming a powerful engine in the intelligent design of products and intelligent manufacturing.
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| date accessioned | 2022-02-06T05:37:07Z | |
| date available | 2022-02-06T05:37:07Z | |
| date copyright | 5/11/2021 12:00:00 AM | |
| date issued | 2021 | |
| identifier issn | 1530-9827 | |
| identifier other | jcise_21_3_030301.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4278405 | |
| description abstract | A digital twin (DT) is the real-time digital replica of a physical entity and system. It enables the seamless integration between digital models and physical devices so that the operation, monitoring, control, and upgrade of the system, as well as personnel training, can be performed in a cyber-physical mixture mode. DTs integrate technologies such as multiphysics multiscale modeling, Internet of Things, smart sensing, machine learning, and model-based control and act as a bridge between the physical world and the virtual world by mapping the whole life cycle of physical systems with real-time sensor data, and maintaining the complete digital trace. In the era of Industry 4.0, DT is becoming a powerful engine in the intelligent design of products and intelligent manufacturing. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Special Issue: Digital Twin-Driven Design and Manufacturing | |
| type | Journal Paper | |
| journal volume | 21 | |
| journal issue | 3 | |
| journal title | Journal of Computing and Information Science in Engineering | |
| identifier doi | 10.1115/1.4050982 | |
| journal fristpage | 030301-1 | |
| journal lastpage | 030301-2 | |
| page | 2 | |
| tree | Journal of Computing and Information Science in Engineering:;2021:;volume( 021 ):;issue: 003 | |
| contenttype | Fulltext |