2019
DOI: 10.1007/s00170-019-04816-6
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A novel approach towards sustainable electrical discharge machining of metal matrix composites (MMCs)

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Cited by 19 publications
(6 citation statements)
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“…This is in line with existing studies. 22 The eroded particles in gap are removed more effectively with high t off values, and thus there is no continuous discharge, deep melting and structural deterioration on the surfaces are reduced. As a result, surface roughness decreases in the machining performed by keeping the 99 ms t off value constant.…”
Section: Evaluation Of Surface Roughnessmentioning
confidence: 99%
See 1 more Smart Citation
“…This is in line with existing studies. 22 The eroded particles in gap are removed more effectively with high t off values, and thus there is no continuous discharge, deep melting and structural deterioration on the surfaces are reduced. As a result, surface roughness decreases in the machining performed by keeping the 99 ms t off value constant.…”
Section: Evaluation Of Surface Roughnessmentioning
confidence: 99%
“…7 Electric discharge machining (EDM) is a non-traditional erosion and material removal process with no physical contact between the tool and the workpiece. 8 Hard materials in ISO S and H classes are easily processed with EDM according to their electrical conductivity. Since there is no physical contact between the workpiece and the electrode in EDM, when voltage is applied between the electrode and the workpiece, metal-based materials can be easily shaped with the formed electric arc by ionizing the dielectric due to the high potential difference.…”
Section: Introductionmentioning
confidence: 99%
“…Paswan et al [12] used steam as a dielectric during EDM of AMMCs and explored the effect of input parameters on the MRR, recast layer, and SR. Moghaddam et al [13] developed a model and optimize the EDM process by combining artificial neural networks and PSO. Mandal et al [14] applied MOPSO and TOPSIS for the multi-objective optimization of Cu-MWCNT composite electrode in EDM and observed that MOPSO can be effectively used for multi-objective optimization.…”
Section: Introductionmentioning
confidence: 99%
“…In general, various parameters such as the pulse duration and the properties of dielectric uid affect the formation of the recast layer. Therefore, correct adjustment of machining operational parameters as well as the use of scienti c innovations play an important role in reducing the thickness of the recast layer, increasing the functional e ciency, and increasing the quality of the machined work pieces [5].…”
Section: Introductionmentioning
confidence: 99%