High-speed milling of light metals

• Autorzy: Cus F. , Zuperl U. , Gecevska V.
• Konferencja: 12th International Scientific Conference CAM3S'2006, 27-30th November 2006, Gliwice-Zakopane
• Języki publikacji: EN

Abstrakty

EN

Purpose: 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-1 and feeding 20 m/min) require modernly built machine tools to meet those machining conditions. Findings: Continuous development of new materials is 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 successfull, when aluminium and magnesium alloying materials are machined.

Słowa kluczowe

EN

machining; high speed milling; light metals

PL

obróbka skrawaniem; frezowanie z dużymi prędkościami (HSM); metale lekkie

• Wydawca: International OCSCO World Press
• Czasopismo: Journal of Achievements in Materials and Manufacturing Engineering
• Rocznik: 2007
• Tom: Vol. 20, nr 1-2
• Strony: 419--422
• Opis fizyczny: Bibliogr. 17 poz., rys., tab.

Twórcy

autor

Cus F.

autor

Zuperl U.

autor

Gecevska V.

• University of Maribor, Faculty of Mechanical Engineering, Smetanova 17, 2000 Maribor, Slovenia,

Bibliografia

• [1] Y. Liu, L. Zuo and С. 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, Int. J. Adv. Manuf. Technol. 18 (2001) 399-403.
• [3] L.A. Dobrzański, K. Golombek, J. Kopac and 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 and 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.С. Chen and H.S. Liu, Detection of tool failure in end milling, Journal of Materials Processing Technology 57 (1996) 55-61.
• [6] J. Kopac, M. Sokovic and S. Dolinsek, Tribology of coated tools in conventional and HSC machining Journal of Materials Processing Technology 118 (2001) 377-384.
• [7] J. Kopac, Advanced tool materials for high-speed machining, Proceedings of the 12th International Scientific Сonference Achievements in Mechanical & Materials Engineering AMME'2003 (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 A1203 coated with PVD and CVD process, Proceedings of the 12th Scientific International Сonference „Achievements in Mechanical and Materials Engineering” AMME'2003, Gliwice, 2003, 249-252.
• [9] L.A. Dobrzański, A. Śliwa and 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 (2005), 1192-1196.
• [10] F. Cus and J. Balic, Optimization of cutting process by GA approach, Robot. Comput. Integr. Manuf. 19 (2003) 113-121.
• [11] U. Zuperl and F. Cus, Optimization of cutting conditions during cutting by using neural networks, Robot. Comput.-Integr. Manuf. 19 (2003) 189-199.
• [12] F. Cus, M. Milfelner and 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, АММЕ’2002, (2002) 59-62.
• [13] S.J. Huang and C.C. Lin, A self-organising fuzzy logic controller for a coordinate machine, International Journal of Advanced Manufacturing Technology 19 (2002) 736-742.|
• [14] H. El-Mounayri, H. Kishawy and J. Briceno, Optimization of CNC ball end milling, A neural network-based model, Journal of Materials Processing Technology 166 (2005) 50-62.
• [15] B. Mursec, F. Cus and J. Balic, Organization of tool supply and determination of cutting conditions, Journal of Materials Processing Technology 100 (2000) 241-249.
• [16] S. Stute and F.R. Goetz, Adaptive Control System for Variable Gain in ACC Systems, Proceedings of the Sixteenth International Machine Tool Design and Research Conference, Manchester England, 1975 117-121.
• [17] U. Zuperl, F. Cus and M. Milfelner, Fuzzy control strategy for an adaptive force control in end-milling, Journal of Materials Processing Technology, 164-165 (2005) 1472-1478.