2022
DOI: 10.1016/j.matpr.2021.06.314
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Optimization of WEDM process parameters for machining of heat treated ASSAB ’88 tool steel using Response surface methodology (RSM)

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Cited by 31 publications
(6 citation statements)
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“…The model for Y 2 has a par-ticularly good fit. The statistical validity of the developed models is confirmed by cal-culating the coefficients of variation (CV), with lower values indicating more signifi-cant models [ 31 ]. As shown in Table 3 , the CV for both models is low (22.75% and 1.15%, respectively), indicating the accuracy of the experimental results.…”
Section: Resultsmentioning
confidence: 99%
“…The model for Y 2 has a par-ticularly good fit. The statistical validity of the developed models is confirmed by cal-culating the coefficients of variation (CV), with lower values indicating more signifi-cant models [ 31 ]. As shown in Table 3 , the CV for both models is low (22.75% and 1.15%, respectively), indicating the accuracy of the experimental results.…”
Section: Resultsmentioning
confidence: 99%
“…The response surface methodology (RSM) was applied to optimize outcomes for flexural characteristics. [ 31,32 ] The weight % of silica A, B, and Roselle were the three parameters with different ranges with polyurethane as a polymeric material. The response surface methodology exhibits the optimum weight % of silica A, B, and Roselle with 0.78%, 1%, and 2%, respectively.…”
Section: Introductionmentioning
confidence: 99%
“…Electrical discharges have been established to affect the surface integrity of work pieces for many years [12,13]. Several studies have shown that the roughness of the surface of wire-EDM varies with the duration of the current pulse (T on ) [14][15][16], the peak discharge current (I p ) [17][18][19][20], and the average energy per spark [21,22]. Using a Response Surface Methodology (RSM), a mathematical model was proposed in order to evaluate the WEDM process parameters during the machining of Inconel 627 alloy [23].…”
Section: Introductionmentioning
confidence: 99%