2015
DOI: 10.1007/s00170-015-7934-0
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Evaluation of μEDM-drilling and μEDM-dressing performances based on online monitoring of discharge gap conditions

Abstract: Material removal in micro-electro-discharge machining (μEDM) is subjected to electrical breakdown within the dynamic discharge gap. The nature (shape, size, and frequency) of the waveforms (voltage and current) in the discharge gap of μEDM is unpredictable resulting in nonisoenergetic pulses. The effect of these uncertainties in the nature of the pulses with respect to machining progress is analyzed at various responses such as pulse frequency, pulse density, material removal rate, and volume removal per disch… Show more

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Cited by 28 publications
(11 citation statements)
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“…Bissacco et al [ 82 ] found the pulses not to be isoenergetic and claimed that it is crucial to consider non-contributing discharge pulses in the pulse counting method. Nirala et al [ 87 ] and Raza et al [ 88 ] corroborated this claim by conducting a detailed analysis of the discharge pulses, as illustrated in Fig. 23 (a–c).…”
Section: Online Tool Wear Compensationmentioning
confidence: 69%
See 1 more Smart Citation
“…Bissacco et al [ 82 ] found the pulses not to be isoenergetic and claimed that it is crucial to consider non-contributing discharge pulses in the pulse counting method. Nirala et al [ 87 ] and Raza et al [ 88 ] corroborated this claim by conducting a detailed analysis of the discharge pulses, as illustrated in Fig. 23 (a–c).…”
Section: Online Tool Wear Compensationmentioning
confidence: 69%
“…
Fig. 23 Pulse events of voltage and current in μEDM drilling at (a) the start, (b) the middle, and (c) the finish [ 87 ].
…”
Section: Online Tool Wear Compensationmentioning
confidence: 99%
“…Additionally, it leads to the freezing of abnormal discharges by proper debris evacuation from the discharge gap. However, abnormal discharges due to debris accumulation are significant for increased tool wear in μEDM [28]. As a result, there is less possibility for debris re-solidification, due to its rapid cooling, on the machined tool plate surface in Reverse-μEDM.…”
Section: Reverse-µedm Using Optimal Tool Platementioning
confidence: 99%
“…Here, the sampling rate was 100 MS, so the change in time is taken to be 0.1. As discharge energy (E) [7] is given by (6): (6) The energy plot shown in the fourth (IV) plot of the Fig. 6 is given a curve Gaussian curve fitting for better visualization of the nature of energy discharge.…”
Section: (5)mentioning
confidence: 99%