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논문 기본 정보

자료유형
학술대회자료
저자정보
Patrick Eyring (Coburg University of applied scienece and arts) Jochen Merhof (Coburg University of applied scienece and arts)
저널정보
제어로봇시스템학회 제어로봇시스템학회 국제학술대회 논문집 ICCAS 2022
발행연도
2022.11
수록면
1,722 - 1,727 (6page)

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초록· 키워드

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The significance of digital twins in mechanical and plant engineering companies is becoming increasingly important in the course of Industry 4.0 as a cyber-physical system. Digital twins represent a real object in virtual space. The properties of the real object are simulated using structural and behavior models, so that the digital twin represents a spitting image of the real object in virtual space. The structural models and behavioral models are created by modeling the digital twin in different modeling and simulation domains. A common form of the digital twin in mechanical and plant engineering is a digital twin, which is based on a kinematic multibody simulation. The kinematic digital twin can be coupled with industrial controllers and is often used for the virtual commissioning of plants/machines. These digital twins usually represent the kinematic behavior of the plan/machine in an idealized way and neglect the physically determined system dynamics. By extending the digital twin by the generation of state variables of a multiphysical dynamic simulation and the use of these state variables by industrial programmable logic controller (PLCs), advantages arise in the use of the digital twin with respect to virtual commissioning, fault analysis, condition monitoring and simulative optimization of machines and plants. Thus, it is necessary to complement the kinematic digital twin by a multiphysical dynamic simulation and to connect this extended model of the digital twin to PLCs.

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Abstract
1. INTRODUCTION
2. TASK
3. STATE OF THE ART
4. GENERATION OF STATE VARIABLES IN PARALLEL WITH KINEMATIC MOTION SIMULATIONS
5. EXPANSION OF THE FIELDS OF APPLICATION OF THE DIGITAL TWIN
6. SUMMARY AND OUTLOOK
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