Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)

Research on the Promotion Effect of Additive Manufacturing Technology on Mechanical Drawing Course of Vocational Education

Authors
Meiqin Liang1, Shang Wang2, *, Meiyun Liang3, Han Qin1, Yajuan Zhang1, Haonan Xu1, Xinyu Wei1
1College of Automation Engineering, Beijing Polytechnic, Beijing, China
2School of Automotive Engineering, Beijing Polytechnic, Beijing, China
3Shanghai I&C Foreign Languages School, Shanghai, China
*Corresponding author. Email: wangshang@bpi.edu.cn
Corresponding Author
Shang Wang
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-040-4_24How to use a DOI?
Keywords
Mechanical Drawing; Additive manufacturing; Teaching application; Vocational colleges
Abstract

The long-standing problem in the teaching of Mechanical Drawing is the low level of learning motivation. In order to solve this problem, the research group deeply analyzed the examination results of the previous students and put forward a teaching reform method of integrating additive manufacturing technology into Mechanical Drawing courses. The teaching reform method has been applied to teaching practice and has achieved good results. Firstly, the students are attracted by the display of the parts manufactured by additive manufacturing technology, and their enthusiasm for learning has been significantly improved. Secondly, in order to print out the works, the students discuss and analyze with each other. Thirdly, we used the finite element analysis software to carry out mechanical simulation of large-forced parts to show the trend of pressure and displacement. The statistical results of the examination results show that after the adoption of the new teaching method, the average score of the class examination is 72.20, which is 6.95 higher than the original score. The variance of scores has been reduced from 17.53 to 11.19, indicating that the score gap between students has decreased. The introduction of additive manufacturing technology and equipment in Mechanical Drawing courses is a typical teaching model combining theory with practice, therefore it should be adopted in more vocational colleges and universities.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

Volume Title
Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-040-4_24
ISSN
2589-4900
DOI
10.2991/978-94-6463-040-4_24How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Meiqin Liang
AU  - Shang Wang
AU  - Meiyun Liang
AU  - Han Qin
AU  - Yajuan Zhang
AU  - Haonan Xu
AU  - Xinyu Wei
PY  - 2022
DA  - 2022/12/27
TI  - Research on the Promotion Effect of Additive Manufacturing Technology on Mechanical Drawing Course of Vocational Education
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 158
EP  - 165
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_24
DO  - 10.2991/978-94-6463-040-4_24
ID  - Liang2022
ER  -