Investigation of magnetic field and shielding gas in electro-discharge deposition process

Abstract

The requirements of microfeature-based systems are essentially increasing due to their usage in every major field. Market needs microproducts with more functionality, information processing ability integrated together with compact size. Electro-discharge deposition process is an emerging nonlithographic, additive process to manufacture high aspect ratio 3D microfeatures. The current research work develops and investigates the application of magnetic field and shielding gas in the electro-discharge deposition process with experimental work and simulation model. Response surface methodology model is developed to perform parametric analysis and to ascertain the significance of introducing magnetic field and shielding gas in an electro-discharge deposition process. Results from atomic force microscope and optical image microscope shows that at higher magnetic field the deposition height increases with reduced width. From the EDAX compositional analysis, it is noted that the presence of shielding gas increases the percentage of copper composition and reduces the carbon and oxygen composition in the deposited material. The obtained results confirmed that the presence of magnetic field and shielding gas significantly improves the deposition process.

Mathematical Analysis for Optimizing Electro Discharge Machining Parameters and Enhancing Hastelloy Machining Efficiency

“…Researchers and businesses alike are interested in the optimisation of electro discharge machining (EDM) process parameters for milling hastelloy. Hastelloy, which is renowned for its remarkable hightemperature and corrosion resistant qualities, is widely employed in crucial applications across numerous industries, necessitating effective machining methods [6]. With a focus on process parameter optimisation, this section analyses pertinent studies and advancements in the area of EDM for Hastelloy.…”

Development and analysis of solid lubricant coating on M2 high-speed steel using the EDC process

“…€ ANOVA is used to identify the fitness of the developed mathematical model. When the p-value is less than 0.0500, the model is found to be significant, and if it is more than 0.0500, the model is insignificant [14]. F-value is determined by the ratio of the sum of the squares of the mean between to the sum of the squares of the mean within, and the R 2 value explains the variation percentage between the predictor variable and response.…”

“…Some researchers attempt to describe the sparking phenomenon and deposition process with empirical and simulation models. Muralidharan B et al [14] analyzed the relation between the input process parameters and the response of the EDC process with empirical and mathematical models. Kumaran V et al [15] developed a thermophysical model with COMSOL Multiphysics for the EDC process to understand the mechanism of the coating process.…”

Electric discharge coating process: a critical review with potential application

“…Shirguppikar S et al [66] made a grey fuzzy optimization of process parameters for dry EDM, showing that peak current and pulse on-time influence material removal rate. Muralidharan et al [67][68][69] analyzed the continuous coating process, single spark coating with air as a dielectric medium, and critically studied the effect of magnetic field and shielding gas on coat quality. Dry EDC requires a separate chamber to circulate the shielding gas.…”