Dharmendra ET. Al.  found out the main parameters which are average cutting speed and surface roughness which affect the different machining criteria. They studied the trend of variation of these important machining criteria with four control factors which has been studied simultaneously to establish the trend of variation.
Bijendra Diwakar ET. Al.  analyzed that metal removal rate is most affected by pulse frequency as and predicted optimal parameter setting with the help of Taguchi’s approach.
Scott F. Miller ET. Al.  investigated the effects of pulse on time and spark cycle on micro features with the help of wire EDM. They studied the uses of low MRR EDM cutting for complaint mechanisms and machining of thin sections. They further utilized the findings of EDM surface, subsurface, Debris from SEM micrograph.
Kamal Jangra ET. Al.  proposed a methodology to evaluate the machinability in terms of metal removal rate of tungsten carbide which is based on diagraph and matrix method. It was further investigated that other machining performances such as surface finish, dimensional precision, cutting forces, tool life etc. also determine the machinability.
Y.s Liao ET. Al.  proposed for fault diagnosis and the maintenance schedule of wire EDM a prototype ANN based expert system which is a powerful developmental tool for a complicated system such Wire EDM.
Satyaveer Singh ET. Al.  experimentally investigated the effects of pulse on time, pulse off time and peak current in machining of HSLA steel by utilizing WEDM process by taking into account Taguchi method. It was also demonstrated in this paper that Taguchi method is very effective in optimizing machining parameters while carrying out minimum number of experiments.
Neeraj Nirmal ET. Al.  concluded that both pulse duration and charge current can be utilized in order to enhance surface roughness by reducing the above parameters. It can be shown that by combining high peak value with a short pulse duration gives out a better surface roughness which is unachievable by using long pulses.
Maringostimirovic ET. Al.  by effectively carrying out analytical and experimental investigation suggested that metal removal rate is increased by the increasing discharge energy and the surface roughness is also directly proportional to discharge energy and hence uniform increase of surface roughness can be achieved by increasing discharge power and discharge duration by effectively carrying out analytical and experimental investigation.
J.T. Huang ET. Al.  with the assistance of taguchi quality design, ANOVA and Ftest identified current limiting resistance, machine voltage, type of pulse generating circuit and capacitance as the significance parameters affecting the surface roughness. They also analyzed that in order to have good surface roughness traditional circuit utilizing low power for ignition is modified for machining.
Goswami Amitesh ET. Al.  summarized that cutting speed can be increased by increasing the peak current and is inversely proportional to pulse of time spark gap set voltage and same is the case with material removal rate.
Saeed Daneshmand ET. Al.  studied the capabilities of NiTi60 and investigated the effect of input parameters such as wire speed, pulse current and pulse on time on MRR and surface roughness. It was also inferred that surface roughness increases rapidly with the increase in machining speed resulting from the increase in power.
Rajeev kumar ET. Al.  used the taguchi’s method to establish the relationship between different machining parameters like average cutting speed and surface roughness. The method was successfully used to find the most important parameters and their optimum levels. It was found that the Ton time and Toff time directly affect the surface roughness.
S.Sivanaga MalleswaraRao ET. Al.  summarized the effect of various process parameters like discharge current, job thickness etc. on machining parameters like cutting speed, spark gap and material removal rate. Optimal cutting time, machining cost and cutting accuracy for any job size were estimated using mathematical relations. An error of less than 2% was observed between the calculated and experimental values.
Gautam kocher ET. Al.  made an observation that for WEDM machining of D3 tool steel good surface finish was obtained using copper tungsten electrode in place of cooper and graphite electrodes. For roughing graphite electrode is used while for semi finishing process copper electrode is preferred. It was found that for final finishing process copper tungsten electrode is the best giving good surface finish.
Basil Kuriachen ET. Al.  showed that the pulse time, dielectric pressure, voltage pulse interactions on time are some important parameters affecting surface roughness. Further it was shown that by adopting a high value of dielectric pressure (15 kgf/cm2) and a low value of pulse on time (20 ??s) minimum surface roughness can be achieved. The marginal error in the comparison of conformation test with the predicted results was found to be 7%.