Affiliation:
1. K.N.Toosi University of Technology
2. Tarbiat Modares University
3. Allameh Naeini Institute of Higher Education
4. Foolad Shahr University of Technology
Abstract
Superalloy is an alloy that has been developed to be used in processes with high thermal and mechanical stresses and also preserving high surface stabilities. Because of the increase in temperature and wearing of tool tip (even in low cutting speeds), machining of these materials has not developed considerably. Increase in demand for machining of these materials equally increases the need for investigating their manufacturing methods. For this reason, optimal machining of superalloys is very important and is under great investigations. The most important parameter for manufacturing companies is surface roughness. In the present paper, surface roughness of Udimet500 superalloy which is a nickel-based superalloy is investigated. Based on regression analysis, the most influential parameters to surface roughness are obtained and a relation for the roughness with respect to depth of cut, cutting speed, feed rate and lubricant type (CO2, Z1 or dry) is derived.
Publisher
Trans Tech Publications, Ltd.
Reference16 articles.
1. H. Soleimanimehr, M. J. Nategh , S. Amini: modeling of surface Roughness in Vibration-cutting by artificial neural networks, International Journal of Aerospace and Mechanical Engineering Vol. 4: 3 (2010), p.155.
2. H. Soleimanimehr, M. J. Nategh and S. Amini: prediction of machining force and surface roughness in ultrasonic vibration-assisted turning using neural networks, Advanced Materials Research Vol. 83-86, (2010), p.326.
3. E.O. Ezugwu, J. Bonney , D.A. Fadare , W.F. Sales: Machining of nickel-base, Inconel 718, alloy with ceramic tools under finishing conditions with various coolant supply pressures, Journal of Materials Processing Technology Vol. 162–163 (2005).
4. E.O. Ezugwu, J. Bonney: Effect of high-pressure coolant supply when machining nickel-base, Inconel 718, alloy with coated carbide tools, Journal of Materials Processing Technology Vol. 153–154 (2004), p.1045.
5. E.O. Ezugwu, D.A. Fadare, J. Bonney, R.B. Da Silva, W.F. Sales: Modelling the correlation between cutting and process parameters in high-speed machining of Inconel 718 alloy using an artificial neural network, International Journal of Machine Tools & Manufacture Vol. 45 (2005).