An integrated evaluation approach for modelling and optimization of surface grinding process parameters

This paper presents an application of a Response surface methodology (RSM) for modeling and non-dominated sorting genetic algorithm-II (NSGA-II) for multi-objective optimization of a surface grinding process. The proposed methodology models the material removal rate (MRR) and surface roughness in terms of the three prominent machining parameters using RSM and developed models are used for optimization. As the chosen machining performances are conflict in nature, the problem under consideration is formulated as a multi-objective optimization problem. An efficient evolutionary optimization algorithm, NSGA-II is then applied to obtain the Pareto optimal front of solutions. (C) 2015 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the conference committee members of the 4th International conference on Materials Processing and Characterization.