Kuldeep Kashyap
Dilip Gehlot
Pankaj Jain
Abstract
Electro-Chemical Spark Machining (ECSM) has been used due to its advantages, such as less tool wear and complicate pattern shapes that are also developed in hard non conducting material. The purpose of this work is to optimize the process parameter of ECSM using the Non- sorted Genetic Algorithm-II. It will be identified from the literature survey that different technologies are implemented on ECSM as well as on other nonconventional machining processes. After optimizing the process parameter through the Non-Sorted Genetic Algorithm it provides the optimum parameters for this ECSM setup that will be helpful for future research work.
Keywords- Electrochemical Spark Machining (ECSM), Tungsten tool electrode, Soda-lime, NSGA-II