Rakesh Chaudhari

TL;DR: The optimized parameters were found to machine the alloy appropriately with the intact shape memory effect and proved to be highly effective in predicting and optimizing the wire electrical discharge machining (WEDM) process parameters.

TL;DR: Investigation of the surface integrity of WEDM-processed nitinol samples using digital microscopy imaging, scanning electron microscopy (SEM), and energy-dispersive X-ray (EDX) analysis revealed that surface roughness was maximal at the point where the surface was largely exposed to the WEDm dielectric fluid.

TL;DR: Analysis of Variance (ANOVA) is established to understand the significant characteristics of the process variables and Taguchi’s L8 Orthogonal Array (OA) design is used perform the experiments.

TL;DR: In this paper, the shape memory alloys were machined using a wire electric discharge machining process to obtain a shape memory effect similar to that of the starting base material, and a set of optimal non-dominant solutions were presented.

TL;DR: In this article, a central composite design of response surface methodology is implemented to design the experiments for optimization of WEDM process parameter on pure titanium, where the identified input process variables are pulse on time (Ton), discharge current and pulse off time (Toff), while surface roughness and material removal rate are the output variables.