Studies over the past decades show that rapid research has been conducted on WEDM in terms of improving performance measures, optimizing process parameters, monitoring and controlling the scintillation process, simplifying the thread design and manufacturing, improvement of stimulate efficiency by several researchers. The desired job done will be further discussed in the next paragraphs. Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get original essay Azmir azhari et.al (2017) reported that it is possible to cut polyurethane foam using WEDM (wire electric erosion) process. The foam is made of nickel-copper coated polyester (PET) fabric. Three different thicknesses of foam were chosen as the workpiece, which constitute a different surface and volumetric resistivity. The effects of various parameters on the machining length were examined. The duration of the process is a high energy loss which periodically causes thread breaks caused by the low electrical conductivity of the polyurethane foam. In case of acceleration of the pulse time, the cutting length is reduced as the wire breakage is triggered showing a decrease in the discharge frequency. The length of cut increases with increasing pulse time as a result of sufficient time to remove debris. With a higher peak current, the cut length increases due to the increase in current intensity. Due to the lower servo voltage, the cutting length is also reduced, but machining at lower voltages was unstable with frequent wire breaks. Goyal et al (2017) in this investigation analyzes the effect of process parameters on material removal rate (MRR) and surface roughness (Ra) in wire EDM machining of Inconel 625. The machining was completed using a normal galvanized wire and a cryogenic treated galvanized wire. The tests were performed considering different process parameters such as tool electrode, current intensity, pulse off-time, pulse on-time, wire feed and wire tension. The thickness of the diameter. of the wire and the material to be worked are kept stable. The Taguchi L18 (21*35) orthogonal matrix of the experimental design is used for the experiments. Analysis of variance (ANOVA) is assumed to optimize the material removal rate and surface roughness. Based on the analysis it was found that the pulsation time, instrument electrode and current intensity are the imperative parameters affecting both MRR and SR parameters. Scanning electron microscopy (SEM) is in use to identify the microstructure of the machined workpiece. Singh et al. (2016) reported that from the previous ten years, the wire electrical discharge machining (WEDM) process begins as an unconventional machining process used in manufacturing with complex shapes and variable profiles. However, Al 6063 alloy has countless application areas which include aerospace industry, automotive industry, medical implants, electronics industry etc. Thanks to its unique and excellent characteristics: high strength-to-weight ratio, high wear resistance, improved rigidity, compatibility of operation at high temperatures and low coefficient of thermal expansion. In this research, experiments were conducted to carry out investigations to study the effect of process parameters: pulse time, pulse time, servo voltage, peak current on process performance measurement,i.e. material removal rate (MRR) during WEDM of Al6063 workpiece. From the present study it is clear that the input process parameters have an indispensable influence on the performance characteristics of the process. Key features of the experimental procedure are also noteworthy. Mu-tian yan et al. (2016) worked on the mechatronic system approach for improving the accuracy of straightness of parts during rough cutting of wire electrical discharge machining (EDM). The mechatronic system design integrated an active thread feeding apparatus and a microcontroller-based thread tension control system into a new thread transport system to provide smooth thread transport and constant thread tension value. The active wire feeding apparatus was created to reduce the inertial effect of the wire spool on the wire transport system. Then, the PID controller was used to implement real-time wire tension control of the wire transport system. Compared to a typical thread transport system, the steady-state error of thread tension control can be reduced by half using the newly developed system. The ratio of normal sparks to total sparks defined as the normal spark ratio can be used to maintain a check on the conditions of the spark gap along with an indication to evaluate the processing speed and accuracy of the straightness of the part. The experimental results show that the straightness accuracy of the part can be adequately improved from 13 to 4 µm by the newly developed wire transport system along with optimal machining settings.G Krishna Mohan Rao et. al. (2014) claimed to optimize the metal removal rate of die-sinking electrical discharge machining (EDM) by taking into account the simultaneous effect of various input parameters. The experiments are conducted on Ti6Al4V, HE15, 15CDV6 and M-250. Experiments were conducted by changing the peak current and voltage of the servo, and the metal removal rate (MRR) values ​​were measured. Multiperceptron neural network models were developed using the Neuro solution package. The concept of genetic algorithm is used to optimize the weighting factors of the network. The developed model is expected to be within the limits of acceptable error when the experimental and network model results are compared for all performance measures considered. It is also observed that the maximum error detected when the network is optimized by the genetic algorithm has been significantly reduced. A sensitivity analysis is also conducted to identify the relative influence of the factors on the performance measures. It is observed that the type of material has a greater influence on the performance measures.G.Rajyalakshmi et. al. (2013) applied an effective approach, Taguchi gray relational analysis, experimental results of wire electrical discharge machining (WEDM) on Inconel 825 taking multiple response measurements into account. The approach combines orthogonal array design of the experiment with gray relational analysis. The main objective of this study is to achieve improvement in material removal rate (MRR), surface roughness (SR) and spark gap (SG). Gray relational theory is adopted to analyze the process parameters that optimize the response parameters. The experiment was conducted using the Taguchi L36 orthogonal matrix (21×37). Each experiment was conducted under different input parameter conditions. The response table and relational grade were designedgray for each level of machining parameters. From 36 experiments the best combination of parameters was examined. The experimental results show that the method proposed in this study improves the machining performance of the WEDM process. Samar Singh et.al (2012) stated that Electric Discharge Drill Machine (EDDM) is a spark erosion process used for producing micro holes in material conductive materials. This process is extremely used in the aerospace, dental, medical and automotive industries. Regarding the performance evaluation of electric discharge drilling machine, it is very important to study the process parameters of the machine tool. In this article, a 2 mm diameter brass bar was chosen as the instrument electrode. The experiments generate output responses such as the rate of material removal. The best parameters such as pulse on time, pulse off time and water pressure have been studied for the best processing characteristics. This research shows the use of the Taguchi approach for improved material removal rate in drilling Al-7075. A design of experiments was selected for drilling the material, based on the L27 Taguchi design method. From the analysis of variance (ANOVA) the percentage contribution of the control factor in the processing of Al-7075 in EDDM was seen. The optimal combination significant drilling levels and parameters on the MRR were obtained. The optimization results showed that the combination of the maximum pulse on time (Ton) and the minimum pulse off time (Toff) provides the maximum material removal rate. U. Natarajan et al. (2011) focuses on RSM for multiple response optimization in micro-finish milling operations to achieve maximum metal removal rate (MRR) and minimum surface roughness. An aluminum block of 60×40×16 mm is used as the workpiece material and a carbide cutter with a diameter of 1 mm is used as the cutting tool. Jangra Kamal et al. (2010) presented the optimization of performance characteristics in WEDM using Taguchi Gray relational analysis. The process parameters were studied using a mixed L18 orthogonal array. GRA was applied to determine the optimal process parameters for optimizing multiple performance characteristics which were analyzed during roughing operation in D-3 tool steel.H.Singh et al. (2009) found that the material removal rate (MRR) directly increases with increasing on-time and peak current, while decreasing with increasing pulse-off time and servo voltage. They used ELECTRONICA SPRINTCUT WEDM as the machine tool and hot die steel (H-11) as the workpiece. Mohammadi et al. (2008) setting machining parameters relies heavily on the experience of operators and machining parameter tables provided by machine tool manufacturers. It is difficult to use the optimal functions of a machine due to too many adjustable machining parameters. Kanlayasiri et al. (2007) studied the influences of wire EDM machining variables on the surface roughness of newly developed DC 53 mold steel of width, length, and thickness of 27, 65, and 13 mm, respectively. Processing variables included on time, off time, peak pulse current, and wire tension. Variables influencing surface roughness were identified using the ANOVA technique. The results.