Title: Intelligent selection of machining parameters in turning of Inconel-718 using multi objective optimisation coupled with MADM
Authors: P. Asokan, J.S. Senthilkumaar
Addresses: Department of Production Engineering, National Institute of Technology, Tiruchirapalli-620015, Tamil Nadu, India. ' Department of Mechanical Engineering, PSV College of Engineering and Technology, Krishnagiri-635 108, Tamil Nadu, India
Abstract: Selection of machining parameters in turning of Inconel 718 is the challenging task to the process planner. This research illustrates a new approach to selection of machining parameters by using the multi objective optimisation coupled with multiple attribute decision making method. Machining test has been carried out using uncoated carbide inserts under dry conditions. Using the experim developed for fitness function as well as constraintsental responses mathematical models are in the multi objective optimisation process. The optimisation process gives a set of non-dominated or Pareto optimal solutions for their multi-objective functions. The proposed multi attribute decision-making (MADM) method helps to evaluate and rank the machining conditions. The methodology is illustrated by an example.
Keywords: multi-objective optimisation; Pareto optimal front; NSGA-2; multiattribute decision making; MADM; turning; Inconel 718; intelligent selection; machining parameters; intelligent machining; parameter selection; mathematical modelling; carbide inserts; dry machining.
International Journal of Machining and Machinability of Materials, 2010 Vol.8 No.1/2, pp.209 - 225
Published online: 05 Aug 2010 *Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article