Development of flank wear prediction model of Zirconia Toughened Alumina (ZTA) cutting tool using response surface methodology

摘要: Abstract Flank wear is an important criterion for machinability assessment of a material. The present study attempt to evaluate the influence factors such as cutting speed, feed rate and depth cut on flank during hard turning EN 24 steel with newly developed transformed toughened nano-composite Zirconia Toughened Alumina (ZTA) ceramic inserts. ZTA provides cost effective materials solution most demanding applications which require resistance, corrosion high temperature stability superior mechanical strength. Several machining experiments were performed mathematical models have been postulated by using Response Surface Methodology (RSM). analysis was based first order model in (Vb) expressed function three independent variables i.e. speed (V), (F) (T). Analysis Variance (ANOVA) applied check adequacy their respective parameters. Key parameters interactive effect wears also presented graphical contours may help choosing process predict condition maximum tool life.