Research on Digital Twin-Based Practical Teaching for Intelligent Manufacturing

DOI: https://doi.org/10.62517/jnse.202617414

Author(s)

Weijie Jia

Affiliation(s)

College of Intelligent Manufacturing, Jingchu University of Technology, Jingmen, China

Abstract

To address the problems of expensive equipment, limited numbers of training stations, high safety risks, and coarse-grained assessment in practical teaching for intelligent manufacturing majors, a digital twin–based practical teaching platform for intelligent manufacturing was developed. Taking a typical intelligent production line as the research object, the platform establishes a digital twin consisting of a CNC machining station, a warehousing system, a mobile manipulator, and a production control system. It forms a three-level progressive practical training model of “physical control of the virtual system, virtual control of the physical system, and virtual-physical integration.” Teaching design and implementation were carried out using four experimental projects totaling 32 class hours as examples. Teaching practice shows that this model enables risk-free, repeatable, and fault-injectable practical training, significantly improves students’ engineering practice abilities and learning outcomes, and provides a feasible pathway for practical teaching reform in emerging engineering disciplines related to intelligent manufacturing.

Keywords

Digital Twin; Intelligent Manufacturing; Practical Teaching; Virtual Commissioning; Virtual-Physical Integration.

References

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