Machining parameter optimization using Adam gene algorithm for electro spark erosion on shape memory alloy

In this paper, the shape memory alloy was machined with electro spark machining process. The three main input factors such as pulse on, pulse off, and applied voltage are varied parameters, the material removal and surface roughness are measured. Investigation proved that the pulse on time has induced to make spark intensity and material diffusion. Variation in pulse off made increased conductivity on shape memory alloy. In continuation, the surface damage due to spark intensity and influence of applied voltage revealed maximum for higher voltage. Adam gene algorithm, a modified genetic algorithm is used to find the optimal input process parameter for proposed research. It has been confirmed that the average pulse on time and minimum applied voltage can produce better results.