Aspects of improving the quality of products manufactured by additive technologies
https://doi.org/10.31660/2782-232X-2024-3-111-119
Abstract
Today, additive technologies are common used in different areas of human life and economics. However, the aspects of technological support for various parameters of accuracy in products obtained with 3D printing are not yet fully understood. This study investigates the problems of ensuring the required output products’ characteristics through a comprehensive approach, considering equipment, technological modes, and the work process itself. The study employed quality management methods, mathematical statistics, and frequency analysis as research tools. During experimental studies, batches of parts were printed. The parameters of the part accuracy were then measured and analyzed. The authors also examined the issue of printer elements’ resonant vibrations frequencies on the printing process output parameters. The study demonstrated that eliminating these frequencies by tuning equipment drives improves the accuracy of the resulting products. Further research will explore the impact of printing modes on the accuracy of products and the parameters of vibrational processes in printer elements. Obtaining this data will allow for more efficient technological preparation of the production of this class of products.
About the Authors
A. I. Starikov
Industrial University of Tyumen
Russian Federation
Russian Federation
Aleksandr I. Starikov, Senior Lecturer in the Department of Mechanical Engineering Technology
Tyumen
A. S. Gubenko
Industrial University of Tyumen
Russian Federation
Russian Federation
Arseniy S. Gubenko, Head of the Laboratory in the Department of Mechanical Engineering Technology
Tyumen
M. A. Permyakov
Industrial University of Tyumen
Russian Federation
Russian Federation
Mikhail A. Permyakov, Associate Professor in the Department of Mechanical Engineering Technology
Tyumen
V. M. Soloviev
Industrial University of Tyumen
Russian Federation
Russian Federation
Vasily M. Soloviev, Associate Professor in the Department of Mechanical Engineering Technology
Tyumen
A. A. Tsyganova
Industrial University of Tyumen
Russian Federation
Russian Federation
Alena A. Tsyganova, Master
Tyumen
References
1. Kulikov M., Larionov M., Gusev D., Shevchuk E. Surface roughness improvement of parts made of polymeric materials obtained by means of additive technologies. Bulletin of Bryansk State Technical University. 2021;(7):12– 18. (In Russ.) https://doi.org/10.30987/1999-8775-2021-7-12-182.
2. Torubarov I. S., Bityushkova A. A. Kinematic systems for 3D printer printhead movement. Additivnye tekhnologii. 2020;(2):8–10. (In Russ.) Available at: https://additiv-tech.ru/publications/kinematicheskie-sistemyperemeshcheniya-pechatayushchey-golovki-3d-printera.html.
3. Bezyazychnyy V. F. Similarity method in mechanical engineering technology. Moscow: Mashinostroenie; 2012. (In Russ.)
4. Kabaldin Yu. G., Shatagin D. A., Anosov M. S., Klochkova N. S., Davydov A. M. Improving the mechanical properties of materials produced by wire arc additive manufacturing. Russian Engineering Research. (In Russ.) 2024;44:528–533. https://doi.org/10.3103/S1068798X24700606
5. Suslov A. G. Surface layer quality of machine parts. Moscow: Mashinostroenie; 2000. (In Russ.)
6. Simonov A. M., Ostapchuk A. K., Ovsyannikov V. E. Fundamentals of surface quality assurance for machine parts using dynamic monitoring. Kurgan: Kurgan State University; 2010. (In Russ.)
7. Dunin-Barkovsky I. V., Kartashova A. I. Measurement and analysis of surface roughness, waviness, and out-ofroundness. Moscow: Mashinostroenie; 1978. (In Russ.)
8. Zakovorotnyy V. L., Luk'yanov A. D., Nguen D. A., Fam D. T. Synergetic system synthesis of metal cutting machine tool dynamics control considering the evolution of relationships. Rostov-on-Don: Don State Technical University; 2008. (In Russ.)
9. Bezyazychnyy V. F., Timofeev M. V., Fomenko R. N., Kiselev E. V. Analysis of used procedures for purpose of regime conditions of cutting process. Tehnologia Metallov. 2017;(12):2–10. (In Russ.)
10. Ovsyannikov V. E., Shpitko G. N., Vasil'ev V. I. Technical and engineering-psychological principles of machine design. Kurgan: Kurgan State University; 2014. (In Russ.)
11. Ostapchuk A. K., Ovsyannikov V. E. Synergetic approach to the detection of technological system response on external action. Herald of the Ural State University of Railway Transport. 2011;(3):36–41. (In Russ.)
12. Ovsyannikov V. E., Vasilyev V. I. Expert system of design of processing equipment. Ingineering Journal of Don. 2015;(1-1):19. (In Russ.) Available at: http://ivdon.ru/ru/magazine/archive/n1y2015/2765.
13. Kvitko A. V., Simonova A. S., Buza E. L. Features of building 3D printing models using various software. Innovatsii i investitsii. 2024;(4):391–393. (In Russ.) Available at: https://www.innovazia.ru/upload/iblock/134/0odigvm8037fm1avvs3jxdwdf0ar8ae7/%E2%84%964%202024%20%D0%98%D0%B8%D0%98.pdf.
14. Chabanenko A. V. Modeling extruder behavior in a classical three-axis additive setup. In: Matematicheskie metody i modeli v vysokotekhnologichnom proizvodstve. Saint Petersburg: Saint-Petersburg State University of Aerospace Instrumentation; 2023. P. 288–290. (In Russ.) Available at: https://elibrary.ru/item.asp?id=66343834&pff=1.
15. Ovsyannikov V. E., Shpitko G. N. Fundamentals of machine design and construction. Kurgan: Kurgan State University; 2012. (In Russ.) Available at: http://dspace.kgsu.ru/xmlui/bitstream/handle/123456789/3873/Овсянников-ВЕ_2012_УП.pdf?sequence=1&isAllowed=y.
16. Ostapchuk A. K., Rogov E.Yu., Ovsyannikov V. E. Application of random processes' theory for modeling of surface quality parameters of cars' transmission parts. Transport of the Urals. (In Russ.) 2011;(2):38–40. Available at: https://elibrary.ru/nwgzdp.
17. Ovsyannikov V. E., Kuznetsova E. M., Nekrasov R. Y., Titskaja S. Y.. Development of mathematical model of oscillatory processes at turning of materials with reverse hardness distribution. Architecture, Construction, Transport. 2024;2:105-113. (In Russ.) https://doi.org/10.31660/2782-232X-2024-2-105-113
18. Nekrasov R. Yu., Tempel Yu. A. Automated correction of control programs for CNC machines using a transformable CAD model of a low-rigidity workpiece as part of technical preparation for production. Vestnik MSTU «Stankin». 2021;1:35–40. (In Russ.) Available at: https://elibrary.ru/miqher.
19. Proskuryakov N. A., Nekrasov R. Yu., Starikov A. I., Solov’ev I. V., Barbyshev B. V., Tempel’ Yu. A. Fuzzy Controllers in the Adaptive Control System of a CNC Lathe. Russian Engineering Research. 2018:38(3):220–222. https://doi.org/10.3103/S1068798X18030188
20. Pichurin I. I., Blinov D. V. Quality management of industrial services. Yekaterinburg: Ural Federal University named after the first President of Russia B. N. Yeltsin; 2016. (In Russ.) Available at: https://elar.urfu.ru/handle/10995/41205.
21. Ostapchuk A. K., Ovsyannikov V. E. Scientific bases of providing surface roughness on the basis of analysis of random processes. Kurgan: Kurgan State University; 2012. (In Russ.)
Review
For citations:
Starikov A.I., Gubenko A.S., Permyakov M.A., Soloviev V.M., Tsyganova A.A. Aspects of improving the quality of products manufactured by additive technologies. Architecture, Construction, Transport. 2024;(3):111-119. (In Russ.) https://doi.org/10.31660/2782-232X-2024-3-111-119
Views:
29
Email this article 