2019
DOI: 10.7736/kspe.2019.36.9.793
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Multi-Criteria Decision Making Using Preferential Selection Index in Titanium based Die-Sinking PMEDM

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Cited by 26 publications
(13 citation statements)
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“…e increase in Current and Capacitance improves the MRR [19]. e decrease in voltage decreases the MRR [20,21]. So the process could be controlled by varying these parameters.…”
Section: Materials Removal Rate (Mrr)mentioning
confidence: 99%
“…e increase in Current and Capacitance improves the MRR [19]. e decrease in voltage decreases the MRR [20,21]. So the process could be controlled by varying these parameters.…”
Section: Materials Removal Rate (Mrr)mentioning
confidence: 99%
“…The GR grade value was improved by 3.2% from the predicted mean value. The main effect plot was used to examine the significance of the input factors on responses using Minitab software [16]. Figure 4 shows the effects of input factors on Grey relational grades.…”
Section: Confirmation Experimentsmentioning
confidence: 99%
“…Pillai et al effectively applied the TGRA method to optimize the parameters involved in the robotics-assisted machining process [14]. It was inferred that the TGRA method can compute the optimal process parameters, the significance of which determines responses in machining processes [15][16][17]. The grinding parameters of green manufacturing processes can be optimized using the TGRA method.…”
Section: Introductionmentioning
confidence: 99%
“…These techniques have also been used to model and optimize single or multiple targets in PMEDM process. The performance measures in PMEDM process using micro titanium powder have been investigated simultaneously using various optimization techniques to solve different optimal problem results [38][39][40][41][42][43] . The MRR, EWR and R a in PMEDM using Al powder were analyzed by fused deposition modeling [44] .…”
Section: Introductionmentioning
confidence: 99%