Parametric modelling of multiple quality characteristics in turning of CP titanium grade-2 with cryo-treated inserts. (2017)

• Record Type: Journal Article
• Authors: Khan, Akhtar; Maity, Kalipada
• Is Part Of: International journal of material & product technology. Volume 54:Number 4(2017)
• Page Start: 306
• Page End: 331
• Publication Date: 2017
• Subjects: desirability function analysis -- DFA -- Taguchi methods -- regression analysis -- ANOVA -- parametric modelling -- turning -- titanium -- cryogenic treatment -- carbide inserts -- cutting speed -- feed rate -- depth of cut -- optimisation -- quality characteristics -- cutting force -- surface roughness -- surface quality -- machining temperature -- material removal rate -- MRR -- mathematical modelling; Manufacturing processes -- Periodicals; Materials -- Testing -- Periodicals; 620.11
• Languages: English
• ISSNs: 0268-1900

Abstract

In this study, Taguchi-based desirability function analysis (DFA) and regression analysis approach were used to optimise the multiple quality characteristics simultaneously in turning of commercially pure titanium grade-2. The experiments were carried out based on Taguchi's L9 orthogonal array with untreated and cryogenically treated carbide inserts. Cutting speed (v), feed rate (f) and depth of cut (d) were taken as three input variables. Performance measures like cutting force (Fc ), surface roughness (Ra ), machining temperature (Tm ) and material removal rate (MRR) were evaluated. The results were compared with each other in order to exhibit the improved performance of cryogenically treated inserts. A mathematical model was also developed for each output response using regression analysis. The cutting force and machining temperature of cryo-treated inserts were observed to be lesser in comparison with the untreated ones. The surface finish produced on the machined part was marked better with cryo-treated inserts.