2014
DOI: 10.1080/10426914.2014.962041
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Optimization of Process Parameters to Improve Form and Orientation Tolerances in EDM of MoSi2-SiC Composites

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Cited by 39 publications
(10 citation statements)
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“…This extant investigational work emphasizes by implementing a grey relational optimization technique to delineate the optimal value of the input parameter. By performing the grey relational optimization technique, the intended output responses were better responsive for dissimilar materials on various non-conventional machining methods instance EDM [24][25][26][27][28][29]. Anand et al [30] have done an investigation of drilling parameters on hybrid polymer composite by utilizing the optimization tools such as GRA, regression, fuzzy logic and ANN models.…”
Section: Introductionmentioning
confidence: 99%
“…This extant investigational work emphasizes by implementing a grey relational optimization technique to delineate the optimal value of the input parameter. By performing the grey relational optimization technique, the intended output responses were better responsive for dissimilar materials on various non-conventional machining methods instance EDM [24][25][26][27][28][29]. Anand et al [30] have done an investigation of drilling parameters on hybrid polymer composite by utilizing the optimization tools such as GRA, regression, fuzzy logic and ANN models.…”
Section: Introductionmentioning
confidence: 99%
“…The overcut in EDM die-sinking is another issue that ultimately influences the geometrical accuracy [21]. With respect to machining holes through EDM the difference between the designed geometry and machined geometry is very common [22]. It has been reported that the overcut especially in the case of hole making through EDM is highly difficult to forecast since there exists a complex and non-linear relationship of tool wear, tool diameter, and discharge parameters [23].…”
Section: Introductionmentioning
confidence: 99%
“…The optimization techniques possess benefits in terms of reducing time and cost analysis. Researchers have explored different avenues for optimization techniques in which gray relational analysis (GRA) optimization techniques have better responsiveness for different materials in the case of EDM [29,30]. In addition, several optimization techniques, such as Taguchi technique with GRA [31], artificial neural network (ANN), and evolutionary algorithms, such as particle optimization (PSO) and simulated annealing (SA) [32], have been pursued in the past few years.…”
Section: Introductionmentioning
confidence: 99%