As the industries and technologies advance, the term Industry 4.0 has evolved to encompass this advancements. CPS refers to the integration of physical items and digital systems, resulting in a symbiotic link between the physical and virtual worlds. This paper presents the implementation of a dynamic digital twin for a workstation dedicated to quality control and inspection of axisymmetric parts within a storage facility with the help of Simulink. The digital twin serves as a virtual representation of the physical workstation, enabling real-time monitoring and analysis of the inspection processes. By integrating advanced sensor technologies and data analytics, the digital twin enhances efficiency and accuracy in quality control procedures. The virtual environment allows for the simulation and optimization of workflows, facilitating proactive decision-making and reducing non-value-added times. The results demonstrate the effectiveness of the digital twin in improving overall inspection performance, reducing downtime, and enhancing reliability.

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Digital Twin of Axisymmetric Part Storage QC and Inspection Workstation

  • S. Nandhagopal,
  • V. S. Yogesh,
  • Arun Kumar,
  • Sunil Jha

摘要

As the industries and technologies advance, the term Industry 4.0 has evolved to encompass this advancements. CPS refers to the integration of physical items and digital systems, resulting in a symbiotic link between the physical and virtual worlds. This paper presents the implementation of a dynamic digital twin for a workstation dedicated to quality control and inspection of axisymmetric parts within a storage facility with the help of Simulink. The digital twin serves as a virtual representation of the physical workstation, enabling real-time monitoring and analysis of the inspection processes. By integrating advanced sensor technologies and data analytics, the digital twin enhances efficiency and accuracy in quality control procedures. The virtual environment allows for the simulation and optimization of workflows, facilitating proactive decision-making and reducing non-value-added times. The results demonstrate the effectiveness of the digital twin in improving overall inspection performance, reducing downtime, and enhancing reliability.