Examination and Optimization of Machining Parameters in Electrical Discharge Machining of UNS T30407 Steel

Abstract

Electrical discharge machining (EDM) is a non-conventional process utilized for machining electrically conductive materials which cannot be machined by conventional processes. This paper is focused on modeling and optimization in electrical discharge machining (EDM) of UNS T30407 steel. The variables such as pulse on time (Ton), pulse off time (Toff), and current will influence the material removal rate (MRR) and surface roughness (Ra) which were taken as response variables. Experimental data were collected as per the central composite design (CCD) matrix of response surface methodology (RSM) approach and mathematical models have been developed for both the response variables. The analysis of variance (ANOVA) was employed to determine the significant machining parameters and optimize the input parameters for both the responses (MRR and Ra). The statistical adequacy of the models is tested with the help of ANOVA. The optimum parametric combination for maximum MRR and smaller Ra (highest surface finish) was found. The surface characteristics of the machined surface were investigated by a scanning electron microscope (SEM).

Research on Electrostatic Field-Induced Discharge Energy in Conventional Micro EDM

“…In micro EDM, the small pulse energy is one of the prominent research topics. The major discharge energy generation methods are the relaxation pulse generator [8] and the transistor-pulse generator [9]. Singh et al [8] verified that the relaxation pulse generator can generate low discharge energy by charging and discharging the capacitor adopted in the main power loop.…”

“…The major discharge energy generation methods are the relaxation pulse generator [8] and the transistor-pulse generator [9]. Singh et al [8] verified that the relaxation pulse generator can generate low discharge energy by charging and discharging the capacitor adopted in the main power loop. Ichikawa and Natsu [10] further confirmed that the existing stray capacitance in the machine tool limited its access to the minimal discharge energy with a short duration and high frequency, even if removing the capacitors in the main power loop.…”

3D Technology in the Construction Machinery Processing Industry

“…For example, Raj A et al used graphene nanoplates to improve the machinability of Inconel 718 with graphene in two forms: as a solid lubricant and as an inclusion in the cutting fluid; the performance was compared by measuring cutting forces, cutting temperatures, tool wear and surface roughness, and the results showed that both forms of graphene exhibited superior performance to dry machining [6].Singh P et al experts prepared Al-4032 based composites with SiC mass fraction of 6% by stir casting apparatus and tested the composites for tensile strength, micro hardness and impact strength. Cutting speed, feed rate and depth of cut were the cutting parameters selected to check the response surface finish and energy consumption and the results showed that the expectation value approach based on response surface methodology was used to obtain the desired goal of achieving optimal combination of parameters [7]. It was found that there is relatively little research into machining applications based on 3D technology.…”