Using an unconventional method of machining, electric discharge machining is capable of processing extremely hard materials that are inaccessible to more traditional machining methods. Electric discharge machining is a metalworking technique that uses an electric erosion effect in conjunction with an electrosparking spark. A current discharge takes place in a narrow space between the work piece and the electrode, melting and vaporizing the unwanted material and separating it from the parent metal in the process. When it comes to enhancing material removal rates and decreasing tool wear, powder-mixed electrical discharge machining is one of the most recent techniques. The machining mechanism, the cost-effectiveness of powder, the powder concentration in the working fluid, and the safety and environmental impact of this new development are just a few of the many questions that remain unanswered. As a result, it sees very little use in the manufacturing sector. EN-31 with aluminium as a tool electrode was examined in this study to determine its machining characteristics during EDM processing. The EDM procedure is used to study the MRR, TWR, and SR of the MWCNT combined with dielectric fluids. EDM process output parameters were predicted using regression models. Predictive models were built using the peak current, pulse on time, and pulse off time parameters of machining. In order to collect data, we used a full factorial design. ANOVA is used to identify the most influential input parameter that has the greatest impact on the final outcome. Using design expert software, the characteristics of EN-31 steel were improved and regression equations with and without MWCNT were compared using an electro-destructive method (EDM). Carbon nano tube combined as dielectric fluid improved surface roughness by an average of 30% while improving MRR by an average of 19% while decreasing TWR by 8.51 percent.

This paper compares the thermal behavior of Ethylene Glycol (EG) and nano particles of Al2SiO5 immersed water based cutting fluid as coolants experimentally for the application of radiator used in automobile. In this regard, forced convective heat transfer coefficient has been equated for base fluid i.e. EG and water-based nanoparticles (NPs) of Al2SiO5 immersed nanofluids (NFs). For NFs, nano particles of Al2SiO5 have been mixed at concentration of 0.1%, 0.2%, 0.3% and 0.4% considering the vol% /vol%. The base fluid has been prepared by mixing the 40% EG and 60% pure water based on vol% / vol%. To have a laminar flow, all the experiments have been performed for Reynolds number ranging from 500 to 1500. For all experimental trials, the NFs were allowed to flow across the tubes of radiator made in elliptical cross section. Besides, the air is allowed to pass at constant speed in the direction of perpendicular to the flow of coolant at the passage between the tube bundles. The obtained experimental results suggest that the increment in flow rate can enhance the heat transfer. However, negligible impact has been observed for the change in inlet temperature of radiator. The increment in heat transfer upto 47% has been observed when NPs having low concentration has been immersed in base fluid. To compare the heat transfer, a non-dimensional coefficient of heat transfer i.e. Nusselt Number (Nu) has been calculated.