2018
DOI: 10.1016/j.jksues.2018.04.001
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Optimization of machining parameters of WEDM for Nimonic-75 alloy using principal component analysis integrated with Taguchi method

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Cited by 52 publications
(29 citation statements)
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“…For example, Hegab et al [16] optimized material removal rate, wear electrode ratio, and average surface roughness Ra as a function of machining on-time, discharge current, voltage, total depth of cut and percentage in weight of carbon nanotube composites (CNT) added to an aluminum base. Sonawane et al [17] considered WEDM parameters such as pulse-on time, servo voltage, pulse-off time, peak current, feed rate, and cable tension and responses like surface roughness, overcut and material removal rate, in Nimonic-75 alloy. Magabe et al [18] investigated the effect of spark gap voltage, pulse on-time, pulse off-time, and wire feed on the material removal rate and surface roughness of a Ni-Ti shape memory alloy.…”
Section: Introductionmentioning
confidence: 99%
“…For example, Hegab et al [16] optimized material removal rate, wear electrode ratio, and average surface roughness Ra as a function of machining on-time, discharge current, voltage, total depth of cut and percentage in weight of carbon nanotube composites (CNT) added to an aluminum base. Sonawane et al [17] considered WEDM parameters such as pulse-on time, servo voltage, pulse-off time, peak current, feed rate, and cable tension and responses like surface roughness, overcut and material removal rate, in Nimonic-75 alloy. Magabe et al [18] investigated the effect of spark gap voltage, pulse on-time, pulse off-time, and wire feed on the material removal rate and surface roughness of a Ni-Ti shape memory alloy.…”
Section: Introductionmentioning
confidence: 99%
“…None of the produced samples has subsurface defects in the form of burnt cavities or cracks, which is very favourable in terms of the required functionality and durability of parts machined in this way. Given similar studies such as Goswami [11,17], Bisaria [15] or Sonawane [16], it can be said that Nimonic material does not tend to form subsurface cracks after WEDM, which is a very positive fact. The analysis of the subsurface layer was performed on pre-prepared metallographic preparations of all samples using electron microscopy.…”
Section: Multicriteria Optimizationmentioning
confidence: 94%
“…They focused their attention on the surface morphology and topography, recast layer thickness and surface roughness among the others. Sonawane [16] focused on the machining parameters optimization during the WEDM process and studied Nimonic-75 as a material for the experiments. In their research, they employed principal component analysis, which they combined with the Taguchi method.…”
Section: Literature Reviewmentioning
confidence: 99%
“…PCA is a powerful multivariate statistical technique for multi-objective optimization [ 20 ] that reduces the complexity, correlation, vagueness, and dimensions of information by simplifying and combining numerous allied arrays into few uncorrelated arrays and principal component. PCA employs linear permutation for conserving unique information to maximum extent [ 45 ]. Thus, it converts multi-response optimization to single response optimization without compromising original information [ 46 ].…”
Section: Optimization Methodologymentioning
confidence: 99%