2020
DOI: 10.1016/j.matpr.2020.02.278
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Optimizing the process parameters of ECM using Taguchi method

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Cited by 9 publications
(4 citation statements)
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“…An analysis of variance is used to calculate the contribution percentage of the process parameters. A greater S/N ratio is preferable since it indicates that there are many settings that may be changed to reduce the impact of unwanted noise and loss [21].…”
Section: Ecm Process and Design Of Experimentsmentioning
confidence: 99%
“…An analysis of variance is used to calculate the contribution percentage of the process parameters. A greater S/N ratio is preferable since it indicates that there are many settings that may be changed to reduce the impact of unwanted noise and loss [21].…”
Section: Ecm Process and Design Of Experimentsmentioning
confidence: 99%
“…Electrochemical machining (ECM) is an intriguing processing technology that has lately gained popularity due to its many mechanical components. ECM is a practical electrochemical energy-based method through which material is removed by ion movement when it is exposed to an electrolyte [1]. It relies on Faraday's law of electrolysis.…”
Section: Introductionmentioning
confidence: 99%
“…Many academics have already worked on process optimisation in ECM. Khundrakpam et al [1] explored the effect of ECM on stainless steel using copper electrodes employing the Taguchi technique and reported that voltage applied during the machining was the most prominent parameter for controlling roughness characteristics and MRR. Rajesh et al [2] studied the MRR for an ECM-machined Aluminium metal matrix composite using the Taguchi process and reported that pulse on time highly dominated the increase in MRR.…”
Section: Introductionmentioning
confidence: 99%
“…An electrolyte solution is supplied and fills the machining gap to finish the flow current and dissolve the workpiece [7]. In EP, the material removal rate is determined by electrical properties, electrolyte properties, and material properties [8,9].…”
Section: Introductionmentioning
confidence: 99%