PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Theoretical determination of voltage arise in machining of gray cast irons

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: Machining conditions should be well determined in order to increase production speed and minimize machining cost. However, it is difficult to produce all information for optimum machining conditions. Therefore it is generally accepted provide the most influential factors for determination of optimum machining conditions. The optimum machining conditions would provide longer tool life and better surface finish quality. Design/methodology/approach: Taylor mentioned a relative between cutting speed and tool life and developed model from consecutive experimental studies completed under invariable machining conditions. Recently the factorial regression analysis has been extensively applied for providing optimum machining conditions for expected tool life and surface roughness. In the present study, voltage differences between workpiece and cutting tool were also taken into consideration for theoretical determination of machining conditions. The results of experimental study carried out for machining of gray cast irons (at different chemical compositions) were modeled by using regression analysis method. Findings: The influence of cutting speed, feed rate, diameter and depth of cut on the voltage difference were investigated. Consequently theoretical values obtained from the equation were similar to the experimental values. Practical implications: The results of experimental study carried out for machining of gray cast irons (at different chemical compositions) were modeled by using regression analysis method. Originality/value: In the present study, a mathematical model was improved using regression analysis method of potential differences between workpiece and cutting tool and, machining on the lathe which is made different chemical compositions of gray cast iron.
Rocznik
Strony
79--82
Opis fizyczny
Bibliogr. 16 poz., rys., tab.
Twórcy
autor
autor
Bibliografia
  • [1] F.W. Charles, J.O. Timothy, Iron Castings Handbook, Iron Casting Society Inc., 1981.
  • [2] A.R. Ghaderi, M. Nili Ahmadabadi, H.M. Ghasemi, Effect of graphite morphologies on the tribological behavior of austempered cast iron, Wear 255 (2003) 410-416.
  • [3] K. Edalati, F. Akhlaghi, M. Nili-Ahmadabadi, Influence of SiC and FeSi addition on the characteristics of gray cast iron melts poured at different temperatures, Journal of Materials Processing Technology 160 (2005) 183-187.
  • [4] M. Ramadan, M. Takita, H. Nomura, Effect of semi-solid processing on solidification microstructure and mechanical properties of gray cast iron, Material Science and Engineering A 417 (2006) 166-173.
  • [5] W. Wei, J. Tianfu, G. Yuwei, Q. Guiying, Z. Xin, Properties of a gray cast iron with oriented graphite flakes, Journal of Materials Processing Technology 182 (2007) 593-597.
  • [6] American Foundry Society web page: http://www.afsinc.org 2002.
  • [7] W. Xu, M. Ferry, Y. Wang, Influence of alloying elements on as-cast microstructure and strength of gray iron, Materials Science and Engineering A 390 (2005) 326-333.
  • [8] F.W. Taylor, On The Art of Cutting Metals, ASME 78 (1907) 1119-1126.
  • [9] H. Zarepour, A. F. Tehrani, D. Karimi, Statistical analysis on electrode wear in EDM of tool steel DIN 1.2714 used in forging dies, Journal of Materials Processing Technology 187-188 (2007) 711-714.
  • [10] W. Li, Manufacturing process diagnosis using functional regression, Journal of Materials Processing Technology 186 (2007) 323-330.
  • [11] C.H.C. Haron, A. Ginting, H. Arshad, Performance of alloyed uncoated and CVD-coated carbide tools in dry milling of titanium alloy Ti-6242S, Journal of Materials Processing Technology 185 (2007) 77-82.
  • [12] A.N. Damir, A. Elkhatib, G. Nassef, Prediction of fatigue life using modal analysis for grey and ductile cast iron, International Journal of Fatigue 29 (2007) 499-507.
  • [13] S.M. Wu, Tool life testing by response metallurgy Part 1-2, Journal of Engineering Industry 87 (1964) 105-116.
  • [14] C. Ozel, E. Kilickap, Optimization of surface roughness with GA approach in turning 15% SiCp reinforced AlSi7Mg2MMC material, International Journal of Machining and Machinability of Materials 1 (2006) 476-487.
  • [15] P.N. Mutherrjee, S.K. Basu, Statistical evaluation of metal-cutting parameters in hot machining, International Journal of Production Research 11 (1974) 21-36.
  • [16] K.C. Lo, N.N.S. Chen, Prediction of tool life in hot machining of alloy steel, International Journal of Production Research 15 (1977) 47-63.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BOS5-0019-0068
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.