Preparing Future Specialists for Efficient Production with a 3D Printer in the Educational Process: Using the Example of Engineering and Technical Knowledge
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Keywords:
3D printing, manufacturing, STEM education, interdisciplinary training, drone creation, engineering and technical education.Abstract
Modern manufacturing technologies, particularly 3D printing, have undergone significant evolution in recent years, unlocking new opportunities for efficient production and innovation. The training of future specialists to create drones in the field of education has become a particularly pressing problem. Having mastered the ability to easily and quickly create structural parts using 3D printing, future specialists will not only simplify the design and production of drones but also learn how to produce lightweight and highly efficient devices, thereby reducing costs. Therefore, the use of the 3D printing method in the development of drones in the educational process is becoming particularly relevant as a promising area of efficient production. The purpose of this study is to consider the issues of training future specialists for efficient production with a 3D printer, using the example of drone development through a 3D printer. During the research, the method of theoretical and experimental analysis, modeling, and design was used. During the training, work was carried out to determine the dependence of the lifting force of the finished drone on the size of the blades, as well as the calculation of the dependence of engine power. As a result, using theoretical methods, it was possible to be acquainted with the physical properties of the drone, including the calculation of weight parameters, mass distribution, moments of inertia, and stability. In general, the physical parameters of the drone developed using a 3D printer are optimized, and its efficient operation is ensured. The results of the study can become the basis for training future specialists aimed at improving the design and functionality of the drone.
References
ПАЙДАЛАНЫЛҒАН ӘДЕБИЕТТЕР ТІЗІМІ
Mohd Daud S.M.S., Mohd Yusof M.Y.P., Heo C.C., Khoo L.S., Chainchel Singh M.K., Mahmood M.S., Nawawi H. Applications of drone in disaster management: A scoping review // Science and Justice. – 2022. – Vol. 62, №1. – P. 23–32. https://doi.org/10.1016/j.scijus.2021.11.002
Rejeb A., Abdollahi A., Rejeb K., Treiblmaier H. Drones in agriculture: A review and bibliometric analysis // Computers and Electronics in Agriculture. – 2022. – Vol. 196. – Art. 107017. https://doi.org/10.1016/j.compag.2022.107017
Raivi A. M., Huda S. M. A., Alam M. M., Moh S. Drone Routing for Drone-Based Delivery Systems: A Review of Trajectory Planning, Charging, and Security // Sensors. – 2023. – Vol. 23, №3. – Art. 1463. https://doi.org/10.3390/s23031463
Alwateer M., Loke S.W., Fernando N. Enabling drone services: Drone crowdsourcing and drone scripting // IEEE Access. – 2019. – Vol. 7. – P. 110035–110049. https://doi.org/10.1109/ACCESS.2019.2933234
Choi H.W., Kim H.J., Kim S.K., Na W.S. An Overview of Drone Applications in the Construction Industry // Drones. – 2023. – Vol. 7, №8. – Art. 515. https://doi.org/10.3390/drones7080515 6. Nwaogu J. M., Yang Y., Chan A. P. C., Chi H. lin. Application of drones in the architecture, engineering, and construction (AEC) industry // Automation in Construction. – 2023. – Vol. 151. – Art. 104827. https://doi.org/10.1016/j.autcon.2023.104827
Zhang J., Campbell J. F., Sweeney D. C., Hupman A. C. Energy consumption models for delivery drones: A comparison and assessment // Transportation Research Part D: Transport and Environment. – 2021. – Vol. 90. – Art. 102668. https://doi.org/10.1016/j.trd.2020.102668
Valente J., Kooistra L. MOOC drones for agriculture: The making-of // IEEE Global Engineering Education Conference (EDUCON), 2020 April. – P. 1692–1695. – IEEE Computer Society. https://doi.org/10.1109/EDUCON45650.2020.9125309
Shvetsov A. V., Alsamhi S. H., Hawbani A., Kumar S., Srivastava S., Agarwal S., Nashwan F. M. A. Federated Learning Meets Intelligence Reflection Surface in Drones for Enabling 6G Networks: Challenges and Opportunities // IEEE Access. – 2023. – Vol. 11. – P. 130860–130887. https://doi.org/10.1109/ACCESS.2023.3323399
Chu H. Drones in Education: A Critical Review // Turkish Journal of Computer and Mathematics Education (TURCOMAT). – 2021. – Vol. 12, №11. – P. 1722–1727. https://doi.org/10.17762/turcomat.v12i11.6107