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The effect of changes in depth of cut and cutting speed of CNC toolpaths on turning process performance

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this article, a novel approach to computer optimization of CNC toolpaths by adjustment of cutting speed vcand depth of cut apis presented. Available software works by the principle of adjusting feed rate on the basis of calculations and numerical simulation of the machining process. The authors wish to expand upon this approach by proposing toolpath optimization by altering two other basic process parameters. Intricacies and problems related totheadjustment of apand vcwere explained in the introductory part. Simulation of different variant of the same turning process with different parameter values were conducted to evaluate the effect of changes in depth of cut and cutting speed on process performance. Obtained results were investigated on the account of cutting force and tool life. The authors have found that depth of cut substantially affects cutting force, while the effect of cutting speed on it is minimal. An increase in both depth of cut and cutting speed affects tool life negatively, although the impact of cutting speed is much more severe. An increase in depth of cut allows for a more significant reduction of machining time, while affecting tool life less negatively. On the other hand, the adjustment of cutting speed helpsto reduce machining time without increasing cutting force component values and spindle load.
Rocznik
Tom
Strony
40--44
Opis fizyczny
Bibliogr. 16 poz., fig., tab.
Twórcy
autor
  • Opole University of Technology, Opole 45-758, Prószkowska str 78, Poland
autor
  • Opole University of Technology, Opole 45-758, Prószkowska str 78, Poland
autor
  • Opole University of Technology, Opole 45-758, Prószkowska str 78, Poland
Bibliografia
  • [1] Morek R., Optymalizacja procesu technologicznego, STAL Metale & Nowe Technologie 1-2 (2012) 34 - 38.
  • [2] Jarosz K., Löschner P., Niesłony P., Królczyk G., Optimization of CNC face milling process of Al-6061-T6 aluminum alloy, Journal of Machine Engineering 17 (2017). 69-77.
  • [3] Niesłony P., Jarosz K.,Löschner P., Nowe podejście do optymalizacji programów dla obrabiarek CNC na przykładzie toczenia, Stal, Metale & Nowe Technologie 10-11 (2016) 92-96.
  • [4] Niesłony P., Jarosz K., Löschner P., Porównanie strategii frezowania czołowego w celu wyboru optymalnego sposobu obróbki., Stal, Metale & Nowe Technologie 11-12 (2016) 45-48.
  • [5] Altintas, Y., Tulsyan, S., Prediction of part machining cycle times via virtual CNC. CIRP Annals 64.1, (2015) 361-364.
  • [6] Xu, Q., Wadell, J., Keele, R., Physics-based optimization of OMC machining. Proceedings of International SAMPE Technical Conference, (2017).
  • [7] Altintas, Y., Aslan, D., Integration of virtual and on-line machining process control and monitoring. CIRP Annals 66.1 (2017) 349-352.
  • [8] Li, L., Deng, X., Zhao, J., Zhao, F., Sutherland, J. W., Multiobjective optimization of tool path considering efficiency, energy-saving and carbon-emission for free-form surface milling. Journal of Cleaner Production 172 (2018) 3311-3322.
  • [9] Dodok, T., Čuboňová, N., Císar, M., Kuric, I., Zajačko, I., Utilization of strategies to generate and optimize machining sequences in CAD/CAM. Procedia engineering 192(2017) 113-118.
  • [10] Sivaraman V, Sankaran S., Vijayaraghavan L., The effect of cutting parameters on cutting force during turning multiphase microalloyed steel, Procedia CIRP 4 (2012) 157-160.
  • [11] Korkut, I., Donertas M. A., The influence of feed rate and cutting speed on the cutting forces, surface roughness and tool-chip contact length during face milling, Materials & design 28.1 (2007) 308-312.
  • [12] Korkut I., Kasap M., Ciftci I., Seker U., Determination of optimum cutting parameters during machining of AISI 304 austenitic stainless steel, Materials & Design 25 (2004) 303-305.
  • [13] Bouacha K., Yallese M. A., Mabrouki T., Rigal J. F., Statistical analysis of surface roughness and cutting forces using response surface methodology in hard turning of AISI 52100 bearing steel with CBN tool, International Journal of Refractory Metals and Hard Materials 28 (2010) 349-361.
  • [14] SreeramaReddy T. V, Sornakumar T., VenkataramaReddy M., Venkatram R., Machinability of C45 steel with deep cryogenic treated tungsten carbide cutting tool inserts, International Journal of Refractory Metals and Hard Materials t. 27.1 (2009) 181-185.
  • [15] Królczyk G., Gajek M., Legutko S., Effect of the cutting parameters impact on tool life in duplex stainless steel turning process, TehničkiVjesnik-Technical Gazette 20.4 (2013) 587-592.
  • [16] Grzesik W., Advanced machining processes of metallic materials: theory, modelling and applications. Amsterdam: Elsevier, 2008.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3be00b23-2ab4-4b8b-9a60-10690149cb31
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