INVESTIGATION OF THE MACHINABILITY OF THE CuAl10Fe4 MATERIAL OBTAINED BY THE DMD-METHOD
Keywords:
additive technologies, milling process, machinability, coefficient of relative machinability, cutting force, roughness, CuAl10Fe4Abstract
The paper considers the results of an experimental study of the machinability of the CuAl10Fe4 material obtained using the DMD-method (Direct Metal Deposition). DMD is one of the new high-tech technologies belonging to the additive group, the essence of which is the direct deposition of material from a gas-powder jet of metal particles. The use of this technology makes it possible to manufacture parts of a rather complex shape, while it becomes possible to abandon labor-intensive procurement processes. In addition, this technology allows the application of multicomponent coatings with special properties such as heat resistance, corrosion resistance, increased strength, wear resistance, etc.
The object of experimental research is the milling process. The subject of research is the output parameters of the process. The purpose of the work is to assess the machinability of the deposited material by milling using the indicators of the cutting force and the quality of the machined surface.
The main methods used to achieve this goal are experiment, measurement and analysis.
The results of the experiment provided the data necessary for further processing. The main task of the experiments was to register the cutting force and measure the roughness of the machined surface at various feeds, which is the most important stage for establishing their relationship.
As a result of the study, the relationship between the cutting force during milling and the roughness of the machined surface from the feed was established, which made it possible to determine the coefficient of relative machinability of the CuAl10Fe4 material obtained by the DMD-method.
The obtained values of the coefficient of relative machinability can be used in the design of the operation of machining such a material to assign cutting conditions.
References
Pinkerton, A.J. Laser direct metal deposition: theory and applications in manufacturing and maintenance / A.J. Pinkerton // Advances in Laser Material Processing. – 2010. – P. 461–491.
DOI: 10.1533/9781845699819.6.461
Experimental and numerical study of the influence of induction heating process on build rates Induction Heating-assisted laser Direct Metal Deposition (IH-DMD) / M.T. Dalaee, L. Gloor, C. Leinenbach, K. Wegener // Surface and Coating Technology. – 2020. – Vol. 384. DOI: 10.1016/
j.surfcoat.2019.125275
Aghili, S.E. Investigation of powder fed laser cladding of NiCr-chromium carbides singles-ubstrate / S.E. Aghili, M. Shamanian // Optics and Laser Technology. – 2019. – Vol. 119. DOI: 10.1016/
j.optlastec.2019.105652
Leyens, C. Innovations in Laser cladding and direct laser metal deposition / C. Leyens, E. Beyer // Laser Surface Engineering. – 2015. – P. 181–192. DOI: 10.1016/B978-1-78242-074-3.00008-8
Yang, Y.H. Microstructure evolution and protective properties of TaN multilayer coatings / Y.H. Yang, F.B. Wu // Surface and Coating Technology. – 2006. – Vol. 308. – P. 108–114.
DOI: 10.1016/j.surfcoat.2016.05.091
CrVN/TiN nanoscale multilayer coatings deposited by DC unbalanced magnetron sputtering / E. Contreras, Y. Galindez, M.A. Rodas et al. // Surface and Coating Technology. – 2017. – Vol. 332. – P. 214–222. DOI: 10.1016/j.surfcoat.2017.07.086
Boisseliera, D. Improvement of the laser direct metal deposition process in 5-axis configuration / D. Boisseliera, S. Sankarea, T. Engelb // Physics Procedia. – 2014. – Vol. 56. – P. 239–249.
DOI: 10.1016/j.phpro.2014.08.168
Ардашев, Д.В. Экспериментальное исследование дефектного слоя на заготовках, выращенных DMD-методом / Д.В. Ардашев, А.А. Дюрягин, Д.М. Галимов // Обработка металлов (технология, оборудование, инструменты). – 2020. – Т. 22, № 4. – С. 6–17. DOI: 10.17212/1994-6309-2020-22.4-6-17
Machining of Additively Manufactured Parts: Implications for Surface Integrity / O. Oyelola, P. Crawforth, R. M’Saoubi, A.T. Clare // Procedia CIRP. – 2016. – Vol. 45. – P. 119–122.
DOI: 10.1016/j.procir.2016.02.066
Post-Processing of Additively Manufactured Metal Parts / D.L. Bourell, W. Frazier, H. Kuhn, M. Seifi // Additive Manufacturing Processes. – 2020. – Vol. 24. DOI: 10.31399/asm.hb.v24.
Дранков, А.В. Изготовление деталей РКТ из отечественного порошка нержавеющей стали / А.В. Дранков // Аддитивные технологии. – 2019. – № 2. – С. 50–55.
Das, S. Producing Metal Parts with Selective Laser Sintering/Hot Isostatic Pressing / S. Das // JOM. – 1998. – P. 17–20. DOI: 10.1007/s11837-998-0299-1
Inconel 718 superalloy machinability evaluation after laser cladding additive manufacturing process / A. Calleja, G. Urbikain, H. Gonzalez et al. // The International Journal of Advanced Manufacturing Technology. – 2018. – Vol. 97. – P. 2873–2885. DOI: 10.1007/s00170-018-2169-5
Analysis of the Machining Process of Inconel 718 Parts Manufactured by Laser Metal Deposition / T. Ostra, U. Alonso, F. Veiga, M. Ortiz // Materials. – 2019. – Vol. 12. DOI: 10.3390/ma12132159
Cutting forces and wear in dry machining of Inconel 718 with coated carbide tools. / A. Devillez, F. Schneider, S. Dominiak et al. // Wear. – 2007. – Vol. 262. – P. 931–942.
DOI: 10.1016/j.wear.2006.10.009
Twardowski, P. Machining Characteristics of Direct Laser Deposited Tungsten Carbide / P. Twardowski, S. Wojciechowski // IntechOpen – 2012. – P. 19. DOI: 10.5772/51439
Общемашиностроительные нормативы времени и режимов резания для нормирования работ, выполняемых на универсальных и многоцелевых станках с числовым программным управлением. Ч. 2. – М.: Экономика, 1990. – 472 c.
Общемашиностроительные нормативы режимов резания: справочник. В 2 т. Т. 1 / А.Д. Локтев, И.Ф. Гущин, В.А. Батуев и др. – М.: Машиностроение, 1991. – 640 с.
Бурова, Д.Н. Исследования и применения влияния магнитного поля на систему «железо–медь–вода» / Д.Н. Бурова, И.С. Цебрук, Н.В. Классен // XVII Всерос. с междунарю участием школа-семинар по структурной макрокинетике для молодых ученых имени академика А.Г. Мержанова. – Черноголовка, 2019. – С. 134–136. DOI: 10.24411/9999-004А-2019-10045
Шаламов, В.Г. Вероятностно-статистические методы в машиностроении / В.Г. Шаламов. – Челябинск: Издательский центр ЮУрГУ, 2018. – 152 с.
