Optimization of Machining Parameters for Milling Operations Using Non-conventional Methods

In this paper, optimization procedures based on the genetic algorithm, tabu search, ant colony algorithm and particle swarm optimization Algorithm were developed for the optimization of machining parameters for milling operation. This paper describes development and utilization of an optimization system, which determines optimum machining parameters for milling operations. An objective function based on maximum profit in milling operation has been used. An example has been presented at the end of the paper to give a clear picture from the application of the system and its efficiency. The results are compared and analysed using the method of feasible directions and handbook recommendations.

[1]  M. C. Cakir,et al.  Optimization of machining conditions for multi-tool milling operations , 2000 .

[2]  Singiresu S Rao,et al.  COMPUTERIZED SELECTION OF OPTIMUM MACHINING CONDITIONS FOR A JOB REQUIRING MULTIPLE OPERATIONS. , 1977 .

[3]  M. S. Shunmugam,et al.  Selection of optimal conditions in multi-pass face-milling using a genetic algorithm , 2000 .

[4]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[5]  Faiz A. Al-Khayyal,et al.  Machine parameter selection for turning with constraints: an analytical approach based on geometric programming , 1991 .

[6]  Raffaello Levi,et al.  Multi-Tool Machining Analysis—Part 2: Economic Evaluation in View of Tool Life Scatter , 1979 .

[7]  Türkay Dereli,et al.  Dynamic optimization of multipass milling operations via geometric programming , 1999 .

[8]  Fred Glover,et al.  Tabu Search - Part II , 1989, INFORMS J. Comput..

[9]  Kazuaki Iwata,et al.  A Probabilistic Approach to the Determination of the Optimum Cutting Conditions , 1972 .

[10]  R. Saravanan,et al.  Comparative Analysis of Conventional and Non-Conventional Optimisation Techniques for CNC Turning Process , 2001 .

[11]  V. K. Jayaraman,et al.  Ant colony framework for optimal design and scheduling of batch plants , 2000 .

[12]  D. S. Ermer,et al.  Optimization of the Constrained Machining Economics Problem by Geometric Programming , 1971 .

[13]  Eja Armarego,et al.  Optimization Strategies and CAM Software for Multiple Constraint Face Milling Operations , 1995 .

[14]  Raffaello Levi,et al.  Multi-Tool Machining Analysis—Part 1: Tool Failure Patterns and Implications , 1979 .

[15]  Luca Maria Gambardella,et al.  Ant colony system: a cooperative learning approach to the traveling salesman problem , 1997, IEEE Trans. Evol. Comput..

[16]  M Tolouei-Rad,et al.  On the optimization of machining parameters for milling operations , 1997 .

[17]  Marco Dorigo,et al.  Ant system: optimization by a colony of cooperating agents , 1996, IEEE Trans. Syst. Man Cybern. Part B.