Nikel Esaslı Waspaloy Süper Alaşımının Minimum Miktarda Yağlama Tekniği Kullanılarak Frezede İşlenebilirliğinin Deneysel ve İstatistiksel Olarak Araştırılması

Yıldırım Ç. V. , Kıvak T.(Executive), Erzincanlı F., Sarıkaya M., Uygur İ.

Project Supported by Higher Education Institutions, 2015 - 2016

  • Project Type: Project Supported by Higher Education Institutions
  • Begin Date: May 2015
  • End Date: November 2016

Project Abstract

Nickel based super alloy Waspaloy is a super alloy having excellent high temperature strength, wear resistance and oxidation resistance with the composition of nickel-cobalt-molybdenum alloys. Because of these outstanding mechanical properties it is widely preferred in industrial gas turbines, space crafts, rocket motors, nuclear reactors, surgical applications and petrochemical industry. When taking a look at the machinability studies on

Waspaloy super alloy in literature it is seen that machinability studies on this material is very limited although it has a widespread field of use. In this study, the effects of minimum quantity of lubrication (MQL) technique together with cutting parameters on the machinability of super alloys will be examined. For this purpose cutting speed, feed rate, cooling-lubrication technique and cutting parameters will be defined in three different levels and full factorial test design will be carried out with Taguchi L27 vertical index. Machining tests will be made at the CNC vertical machining center under three different cutting conditions (dry, wet and MQL) by using two different coated and one uncoated cementite carbide cutting tools and ceramic tools of three different quality. At the end of the tests the effect of machining parameters and cutting conditions on cutting force, surface roughness and tool wear will be examined by performing variance analysis (ANOVA) for cutting force, surface roughness and tool wear obtained depending on the cutting parameters. Besides, regression analysis will be made to put forward the relationship between the dependent and independent variables.