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Investigation and practice of evaluation methods for virtual simulation experiments in intelligent manufacturing within mechanical engineering

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DOI: 10.23977/aduhe.2026.080101 | Downloads: 0 | Views: 21

Author(s)

Chen Jiang 1, Hui Ye 1, Zhenyu Jiang 1

Affiliation(s)

1 College of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China

Corresponding Author

Chen Jiang

ABSTRACT

Virtual simulation experiments in intelligent manufacturing serve as an effective extension and complement to theoretical courses and physical experiments in manufacturing disciplines. Relying on the Internet, students engage in experimental operations such as process planning, production control, and logistics management on virtual intelligent manufacturing production lines that integrate CNC machine tools and robotic arms. Conducting reasonable evaluations on the correctness of students' experimental designs and operations, as well as their mastery of knowledge, is an effective way to improve the quality of teaching. Considering the characteristics of virtual simulation experiments in intelligent manufacturing, this study proposes a structured evaluation method, including classification and evaluation based on knowledge points, evaluation of engineering operation skills, and overall evaluation of process rationality and safety. By using automated evaluation by virtual simulation software, in addition to manual evaluation by instructors and self-evaluation by students, a standardized and practical experimental evaluation method was established. After implementation across multiple courses and semesters, the evaluation results were found to be reliable and accurate, demonstrating the rationality and universality of the proposed method.

KEYWORDS

Intelligent Manufacturing; Virtual Simulation; Experimental Teaching; Evaluation Method

CITE THIS PAPER

Chen Jiang, Hui Ye, Zhenyu Jiang, Investigation and practice of evaluation methods for virtual simulation experiments in intelligent manufacturing within mechanical engineering. Adult and Higher Education (2026) Vol. 8: 1-8. DOI: http://dx.doi.org/10.23977/aduhe.2026.080101.

REFERENCES

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