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- W2884438360 abstract "Ti–6Al–4V is a popular titanium alloy, finding wide application mainly in aerospace and biomedical applications. Due to its high strength and toughness, wire cut electrical discharge machining (WEDM) is used for macro- and micro-machining of these materials. In this work, WEDM experiments on Ti–6Al–4V are conducted using Taguchi L16 OA with four process parameters, viz. pulse on time (Ton 13, 20, 27, 34 µs), pulse off time (Toff 4, 6, 8, 10 µs), current or applied current (I 1, 2, 4, 5 A) and wire speed (WS 350, 700, 1050, 1400 rpm). The novelty of this work is to evaluate two important sustainable measures, i.e., material removal rate (MRR) for economic concern and power consumption (PC) for environmental concern, in the production of WEDM components. The machining process cycle of WEDM process is described step by step. The power consumption during machining is evaluated by measuring line current using digital clamp meter. Regression models developed were found to be highly accurate with model accuracy of 98.34 and 94.03% for PC and MRR, respectively. Experimental investigation shows that I and Toff are found to be significant factors influencing MRR and PC. Parametric variation of response surface of MRR and PC is also studied using surface plots. SEM images of the machined surface at cutting conditions corresponding to maximum MRR and minimum PC are also studied. Desirability function analysis (DFA) is employed to simultaneously optimize the responses. The process parameters are optimized using DFA, and results show an improvement in composite desirability (CD) by 7.88% at optimum parameter setting of Ton 20 µs, Toff 6 µs, I 2 A and WS 1050 rpm. The performance measures at optimum parameter show improvement of 9.77 and 6.40% for MRR and PC, respectively." @default.
- W2884438360 created "2018-08-03" @default.
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- W2884438360 date "2018-07-28" @default.
- W2884438360 modified "2023-10-15" @default.
- W2884438360 title "Evaluation of power consumption and MRR in WEDM of Ti–6Al–4V alloy and its simultaneous optimization for sustainable production" @default.
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- W2884438360 doi "https://doi.org/10.1007/s40430-018-1318-y" @default.
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