2020
DOI: 10.21278/tof.43408
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Parameter Optimization of the CNC Wire-Cut EDM Process for Machining Aluminium 6063-B4C Metal Matrix Composites

Abstract: In the competitive manufacturing environment, conventional monolithic materials cannot compete with composite materials in the ever growing market because of their inherent limitations. Consequently, composite materials are preferred globally in major industries. CNC wire-cut electrical discharge machining is one of the non-traditional machining (NTM) processes, which are used to cut ferrous and non-ferrous metals with properties ranging from low hardness to high hardness and especially to cut high hardness ma… Show more

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Cited by 4 publications
(2 citation statements)
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“…Figure 13, b illustrates the relationship between surface finish and discharge current for both low and high frequencies. Wire EDM, which employs a wire electrode controlled by CNC, is particularly useful for creating precise cuts, such as those needed for fabricating punches and dies [49].…”
Section: Electric Discharge (Ed) Machiningmentioning
confidence: 99%
“…Figure 13, b illustrates the relationship between surface finish and discharge current for both low and high frequencies. Wire EDM, which employs a wire electrode controlled by CNC, is particularly useful for creating precise cuts, such as those needed for fabricating punches and dies [49].…”
Section: Electric Discharge (Ed) Machiningmentioning
confidence: 99%
“…A stir cast AA5083 with 7 wt% B 4 C composites was taken for WEDM process parameters optimization by using metaheuristic techniques [24]. Grey-based Taguchi technique has been chosen as an optimum parameter combination to achieve the performance features of maximum MRR, minimum roughness value, B 4 C 6 wt%, aluminium alloy 6063 [25]. Since the time consumption for arrival of results is more in the existing experimental approach, RSM is used as an effective tool for improving, optimizing, and evolving the processes by coalescing numerous input factors and assessing how their intricate interactions influence the performance of the response factors [26,27].…”
Section: Introductionmentioning
confidence: 99%