Selection of optimal conditions for CNC multitool drilling system using non-traditional techniques

This paper outlines the development of an optimisation strategy to determine the optimum cutting parameters for CNC multitool drilling system. The developed mathematical model is based on 'minimisation of production cost' and incorporates various technological and machine tool constraints. A new approach for the optimal selection is presented using non-traditional techniques such as Genetic Algorithm (GA), Simulated Annealing (SA) and Ants Colony Algorithm.

[1]  R. Saravanan,et al.  Machining Parameters Optimisation for Turning Cylindrical Stock into a Continuous Finished Profile Using Genetic Algorithm (GA) and Simulated Annealing (SA) , 2003 .

[2]  M. S. Shunmugam,et al.  Optimal selection of parameters in multi-tool drilling , 2000 .

[3]  Kalyanmoy Deb,et al.  Optimization for Engineering Design: Algorithms and Examples , 2004 .

[4]  Godfrey C. Onwubolu,et al.  Optimizing the multiple constrained resources product mix problem using genetic algorithms , 2001 .

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

[6]  R. Saravanan,et al.  A multi-objective genetic algorithm (GA) approach for optimization of surface grinding operations , 2002 .

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

[8]  Joseph A. Arsecularatne,et al.  Optimum Cutting Conditions for Turned Components , 1992 .

[9]  Yung C. Shin,et al.  Optimization of machining conditions with practical constraints , 1992 .

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

[11]  P. Asokan,et al.  Optimization of depth of cut in multi-pass turning using nontraditional optimization techniques , 2006 .

[12]  G. C. Onwubolu,et al.  Optimization of multipass turning operations with genetic algorithms , 2001 .

[13]  P. E. Amiolemhen,et al.  Application of genetic algorithms—determination of the optimal machining parameters in the conversion of a cylindrical bar stock into a continuous finished profile , 2004 .

[14]  Franci Cus,et al.  Optimization of cutting process by GA approach , 2003 .