Lexicographic method-based parametric optimization of non-traditional machining processes for ceramic materials

Due to excessive hardness and high strength properties, ceramic materials have been found to be quite difficult to machine using the conventional metal removal processes. Nowadays, various non-traditional machining (NTM) processes have been successfully deployed to generate different complex shape geometries on engineering ceramics with the achievement of the desired dimensional accuracy and surface integrity. To achieve the best machining performance of those NTM processes, it has been recommended to operate them at the optimal combinations of their different input parameters. In this paper, lexicographic method is applied as a multi-objective optimization tool to derive the optimal parametric settings of three NTM processes, i.e. electrical discharge machining, Nd:YAG laser machining and ultrasonic machining which have found wide ranging applications in machining of engineering ceramics. The response values obtained at the derived optimal settings are observed to be better than those measured by the past researchers.