Electrical discharge machining (EDM) is a well-established machining option for manufacturing geometrically complex or hard material parts that are extremely difficult-to-machine by conventional machining processes. The non-contact machining technique has been continuously evolving from a mere tool and dies making process to a micro-scale application machining alternative attracting a significant amount of research interests. This involves optimization of the process parameters by relating these with the performance measures maximizing the MRR, while minimizing the TWR and yielding the desired SR.The monitoring and control of the EDM process will be carried out by the identification and regulation of adverse arcing occurring during the sparking process. Wire electro discharge machining (WEDM) is a modification of electro discharge machining (EDM) which has been widely used for long time for cutting punches and dies, shaped pockets and other machine parts of electrically conducting work materials. Technology of the WEDM process is based on the conventional EDM sparking phenomenon, utilizing the widely accepted non contact technique of material removal with a difference that spark is generated at the wire and work piece gap. Evolution of WEDM made drastic changes in the area of precision machining with highest degree of dimensional accuracy and surface finish. The present objective is to optimize the process parameters to enhance the performance parameters. The orthogonal array of experiments formed on the basis of relevant Taguchi technique will be conducted based on different electrode materials and work piece materials. The objective of these experiments to give relation between process and performance parameters for different machinability conditions and to improve the efficiency of the process.
Vijaya Babu, T., & Soni, J. S. (2018). Investigation of process parameters optimization in die-sinking and wire cut EDM to improve process performance using taguchi technique. In Materials Today: Proceedings (Vol. 5, pp. 27088–27093). Elsevier Ltd. https://doi.org/10.1016/j.matpr.2018.09.014