2018
DOI: 10.1016/j.matpr.2017.12.125
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Optimization of Material Removal Rate and Surface Roughness in EDM Machining of Metal Matrix Composite using Genetic Algorithm

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Cited by 24 publications
(15 citation statements)
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“…Aharwal et al [5] Optimization of machining parameters on the electric discharge machine (EDM) with AlSiC as the work piece and pure copper as the electrode. The machining parameters examined in this thesis are the material removal rate (MRR) and the surface roughness.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…Aharwal et al [5] Optimization of machining parameters on the electric discharge machine (EDM) with AlSiC as the work piece and pure copper as the electrode. The machining parameters examined in this thesis are the material removal rate (MRR) and the surface roughness.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The data is taken from [5]. In this paper, the work piece material used was aluminum silicon carbide composite in the form of a 55×55×22 mm³ block.…”
Section: Materials Selectionmentioning
confidence: 99%
See 1 more Smart Citation
“…Aharwal et al optimized the machining parameters on EDM using AlSiC as workpiece and pure copper as electrode. Machining parameters investigated in this work are MRR and SR. Control parameters used are discharge voltage (v), discharge current (I p ), pulse duty factor (T au ), and pulse on-time (T on ) [135]. Table 1 summarizes the recent review papers published in EDM-based work.…”
Section: Modeling and Optimization Of Surface Qualitymentioning
confidence: 99%
“…Further, it was noticed that machining of AA7075-SiC MMC at high current resulted in increased TWR. Aharwal et al (2018) [49] optimized of EDM parameters while machining Al-SiC using Cu electrode. Taguchi technique was employed for design of experiments and Genetic Algorithm was used for optimization.…”
Section: Studies On Electrical Discharge Machiningmentioning
confidence: 99%