№83-24
Improvement of post-mechanical processing technology for parts created by additive technologies
V. Kozechko1, https://orcid.org/0000-0002-2837-187X
M. Kuvaiev2, https://orcid.org/0000-0002-8560-5433
V. Derbaba1, https://orcid.org/0000-0002-3918-2177
S. Alekseyenko1, https://orcid.org/0000-0003-0320-989X
D. Nesin1 https://orcid.org/0009-0008-9631-4368
1Dnipro University of Technology, Dnipro, Ukraine
2Institute of Transport Systems and Technologies of the National Academy of Sciencesof Ukraine, Dnipro, Ukraine
Coll.res.pap.nat.min.univ. 2025, 83:269–279
Full text (PDF)
https://doi.org/10.33271/crpnmu/83.269
ABSTRACT
Purpose. To solve a scientific and technical problem related to the technological support of mechanical processing of a part manufactured using additive technologies by optimizing and controlling its machinability with cutting tools made of hard alloys on modern numerically controlled machine tools.
Methods. The methodology is based on the use of numerical and grapho-analytical research methods to establish a systematic relationship between the parameters of mechanical processing of a part and the properties of the material being processed, the geometry of the tool, and their corresponding integration into the control program of the machine tool and 3D printer.
Findings. Numerical results of research were obtained for a scientifically based approach to solving the scientific and technical problem of productive combined processing of stainless steel parts on a numerically controlled machine tool. The results obtained were compared with known works related to the study of mechanical processing of various materials, assessment of the reliability of cutting tools, accuracy and roughness of the machined surface, measurement results, and quality control.
The originality. Establishing a complete and systematic relationship between processing parameters and the properties of the material being processed, tool geometry, and design and technological factors of the part to calculate the optimized technology for automated production. Mathematical and statistical processing of experimental data made it possible for the first time to obtain comprehensive dependencies in a form convenient for calculation and analysis, which give a clear idea of the influence of each parameter of the turning process on the machine tool.
Practical implementation. It consists in selecting and justifying the optimal geometric parameters of cutting tools, establishing the nature of the influence of stainless steel blade processing conditions on the main indicators of the process – machining time and operating parameters, depending on the hardness of the part material and tool material. Practical recommendations are provided for the optimal use of the obtained data in CAM systems.
Keywords: surface treatment, machine tool, CNC, stainless steel, additive technologies, turning, cutting tool, cutting modes, CAD, CAM.
References
1. Gibson, I., Rosen, D.W. & Stucker, B. (2021). Additive Manufacturing Technologies. Springer.
2. Kravchenko Yu.H., Derbaba V.A. & Smahin D.V. (2020). Vyznachennia i vzaiemozv’iazok kutiv zsuvu i tertia pry struzhkoutvorenni. Zbirnyk naukovykh prats NHU, 61, 193–201. https://doi.org/10.33271/crpnmu/61.193
3. Gu, D. (2015). Laser Additive Manufacturing of High-Performance Materials. Springer. 311.
4. Special Metals Corporation. INCONEL® alloy 718. Technical Bulletin. – New York: Special Metals, (2010). https://www.specialmetals.com/documents/technical-bulletins/inconel/inconel-alloy-718.pdf.
5. Derbaba, V.A., Patsera, S.T. & Hryhorenko, V.U. (2022). Osoblyvosti mekhanichnoi obrobky znosostiikykh chavuniv. Zbirnyk naukovykh prats NHU, (71), 217–230. https://doi.org/10.33271/crpnmu/71.217
6. SandvikCoromant. Product catalog (2023). Sandviken, Sweden: Sandvik AB.
7. Shcherbyna, Ye.Yu, Derbaba, V.A & Kozechko, V.A (2022) Kryterii stiikosti rizhuchoho instrumentu dlia vysoshvidkistnoi obrobky. Zbirnyk naukovykh prats NHU, 67, 77–95. https://doi.org/10.33271/crpnmu/67.077
8. Protsiv, V.V., Kozechko, V.A., Derbaba, V.A. & Bohdanov, O.O. (2021). Suchasni polimerni materialy ta tekhnolohii v 3D-printynhu. Zbirnyk naukovykh prats NHU, 65, 107–117. https://doi.org/10.33271/crpnmu/65.107.
9. Mitsubishi Electric. Wire-cut EDM MV2400S NewGen. – Tokyo: Mitsubishi Electric Corp., (2020). https://www.mitsubishielectric.com/fa/products/edm/lineup/mv2400s/
10. DMG MORI. CMX 70 U – 5-Axis Milling Machine. – Tokyo: DMG MORI CO., LTD., (2023). https://en.dmgmori.com/products/machines/milling/5-axis-milling/cmx-u/cmx-70-u
11. Petrakov, Yu. V. (2017). Metody upravlinnia protsesamy rizannia. Visnyk Zhytomyrskoho derzhavnoho tekhnolohichnoho universytetu. Seriia : Tekhnichni nauky, (2), 124-134.
12. Kravchenko, Yu., & Derbaba, V. (2020). Empirical definition of the shearing angle and chip-edge contact length when cutting. Збірник наукових праць НГУ, 63, 123–133. https://doi.org/10.33271/crpnmu/63.123.
13. Ruban, V., Derbaba, V., Bohdanov, O., & Shcherbyna, Y. (2023). Optimization of product processing modes in modeling and programming of machining on machine tools with program control. Collection of Research Papers of the National Mining University, (72), 222–238.https://doi.org/10.33271/crpnmu/72.222
date of first submission of the article to the publication – 10/01/2025
date of acceptance of the article for publication after review – 11/07/2025
date of publication – 12/29/2025