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High-speed milling of light metals

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: of this paper: Introduction applicability of high-speed cutting of light metals is presented in this paper. Design/methodology/approach: HSC is the result of numerous technical advances ensuring that milling has become faster than conventional milling and has gained importance as a cutting process. The advantages of the HSC milling are higher productivity owing to the reduction of machining times increase of the flow time of production, reduction of the number of technological operations, increase of the surface quality and longer service life of tools. The machining conditions for execution of the HSC (36000 min to the -1 and feeding 20 m/min) require modernly built machine tools to meet those machining conditions. Findings: Continuous development of new materials is more and more dynamical, particularly, in the automobile, aircraft and electronic industry and in the manufacture of various mechanical parts. Also the achievements in the area of building of machines and tools, ensuring high cutting speeds (highly efficient machining) have contributed to development of the process. Research limitations/implications: High quality of the surfaces, the quality of this so-called HSC milling can be compared to grinding. Practical implications: High-speed milling of light metals from aluminium and magnesium is more and more frequently used in practice. This result is high quality of the surface and shorter machining times. In some cases when machining by grinding is specified, the latter is omitted. Originality/value: The applicability of high-speed milling has proved to be successful, when aluminum and magnesium alloying materials are machined.
Rocznik
Strony
357--364
Opis fizyczny
Bibliogr. 13 poz., rys., tab.
Twórcy
autor
autor
autor
  • Faculty of Mechanical Engineering, University of Maribor, Smetanova 17, 2000 Maribor, Slovenia, uros.zuperl@uni-mb.si
Bibliografia
  • [1] Y. Liu, L. Zuo, C. Wang, Intelligent adaptive control in milling process, International Journal of Computer Integrated Manufacturing, 12 (1999) 453-460.
  • [2] J. Balic, A new NC machine tool controller for step-by-step milling, Journal Advanced Manufacturing Technology 18 (2001) 399-403.
  • [3] L.A. Dobrzański, K. Golombek, J. Kopac, M. Sokovic, Effect of depositing the hard surface coatings on properties of the selected cemented carbides and tool cermets, Journal of Materials Processing Technology 157-158 (2004) 304-311.
  • [4] U. Zuperl, F. Cus, B. Mursec, T. Ploj, A hybrid analytical-neural network approach to the determination of optimal cutting conditions, Journal of Materials Processing Technology 157-158 (2004) 82-90.
  • [5] Y.S. Tarng, M.C. Chen, H.S. Liu, Detection of tool failure in end milling, Journal of Materials Processing Technology 57 (1996) 55-61.
  • [6] S. J. Kopač, M. Soković and S. Dolinsek, Tribology of coated tools in conventional and HSC machining, Journal of Materials Processing Technology 118 (2001) 377-384.
  • [7] J. Kopač, Advanced tool materials for high-speed machining, Proceedings of the 12th International Scientific Conference “Achievements in Mechanical & Materials Engineering” AMME'2003, Gliwice-Zakopane, 2003, 1119-1128.
  • [8] L.A. Dobrzański, J. Mikuła, D. Pakuła, J. Kopač, M. Soković, Cutting properties of the ceramic tool materials based on Si3N4 and A12O3 coated with PVD and CVD process, Proceedings of the 12th Scientific International Conference „Achievements in Mechanical and Materials Engineering” AMME'2003. Gliwice-Zakopane, 2003, 249-252.
  • [9] L.A. Dobrzański, A. Śliwa, W. Kwaśny, Employment of the finite element method for determining stresses in coatings obtained on high-speed steel with the PVD process, Journal of Materials Processing Technology 164-165 (2005) 1192-1196.
  • [10] F. Cus, J. Balic, Optimization of cutting process by GA approach, Robotics and Computer-Integrated Manufacturing 19 (2003) 113-121.
  • [11] U. Zuperl, F. Cus, Optimization of cutting conditions during cutting by using neural networks, Robotics and Computer-Integrated Manufacturing 19 (2003) 189-199.
  • [12] F. Cus, M. Milfelner, J. Balic, Determination of cutting forces in ball-end milling with neural networks, Proceedings of the 11th International Scientific Conference “Achievements in Mechanical & Materials Engineering” AMME^2002, Gliwice-Zakopane, 2002, 59-62.
  • [13] S.J. Huang, C.C. Lin, A self-organising fuzzy logic controller for a coordinate machine, Journal Advanced Manufacturing Technology 19 (2002) 736-742.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BOS5-0021-0017
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