2019
DOI: 10.15282/jmes.13.4.2019.22.0478
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Multi-characteristic optimization of WEDM for Ti-6Al-4V by applying grey relational investigation during profile machining

Abstract: This research work presents multi-quality features optimization while wire electrical discharge machining (WEDM) of Ti-6Al-4V. Taguchi's L27 orthogonal arrangement is applied to inspect the outcome of governing variables such as pulse-on period, pulse-off interval, discharge voltage, discharge current, wire feed speed and cable tension on the kerf width, material removal rate (MRR), the surface roughness (SR) and overcut during intricate profile manufacturing on Ti-6Al-4V. To optimize all six governing variabl… Show more

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Cited by 9 publications
(7 citation statements)
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“…A scheme for which the pertinent material is fully identified is a white arrangement, while a structure for which application data is fully strange is a "black" scheme. Some scheme between these boundaries is a grey method having miserable and inadequate statistics (Sonawane et al 2019). Grey interactive exploration is a normalized appraisal technique that effectively solves the complicated multi-performance characteristic optimization.…”
Section: Multi-feature Optimization With Grey Interactive Exploration (Gie)mentioning
confidence: 99%
“…A scheme for which the pertinent material is fully identified is a white arrangement, while a structure for which application data is fully strange is a "black" scheme. Some scheme between these boundaries is a grey method having miserable and inadequate statistics (Sonawane et al 2019). Grey interactive exploration is a normalized appraisal technique that effectively solves the complicated multi-performance characteristic optimization.…”
Section: Multi-feature Optimization With Grey Interactive Exploration (Gie)mentioning
confidence: 99%
“…Since there exists a range of WEDM machining parameters under which the machining could be conducted, it is of paramount importance to arrive at the optimum values of their settings to obtain a desirable machining output performance. With this objective in place, various researchers have investigated various methods of optimization such as response surface method (RSM) [17,18], Taguchi technique [19], grey relational analysis (GRA) [20][21][22] for the process optimization and modeling of WEDM of various materials. However, there is a paucity of application of GRA technique in case of WED machining of Al6061 reinforced metal matrix composite [23].…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, very few studies have conducted surface characterization of titanium alloys machined using WEDM and have analyzed the microlevel impact on the machined surface [33], which invariably plays a key part in the structural integrity of the material. Therefore, the core objective of the present study is to investigate the optimum values of the three important WEDM input control factors [34][35][36][37][38][39][40][41], i.e., peak current, durations of T on and T off , for maximizing MRR using molybdenum wire as wire electrode material, while machining Ti-6Al-4V sheet metal through the utilization of optimization techniques like analysis of variance (ANOVA), regression analysis and RSM. Additionally, scanning electron microscopy will be used to perform surface characterization and a morphological analysis of the resulting machined surface of the titanium alloy.…”
Section: Introductionmentioning
confidence: 99%