Practical Handbook of Genetic Algorithms
Practical Handbook of Genetic Algorithms
Grid generation as applied to optimize cutting operations of the five-axis milling machine
Applied Numerical Mathematics - Special issue: Applied numerical computing: Grid generation and solution methods for advanced simulations
Mathematical and Computer Modelling: An International Journal
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In this study, a methodology is developed to decide the optimum location of a work-piece on the rotation table of an AC type 5-axis milling machine which has minimum X,Y and Z axes movement when machining. At first, a method for calculating the movement of the X,Y, and Z axes of the machine when machining a work-piece is developed. The best location of the work-piece is set corresponding to the minimum movement of X,Y, and Z axes of the milling machine when the cutter of the machine follows the tool path generated by the commercial CAD/CAM program. The genetic algorithm (GA) technique is used to minimize movements of the X,Y, and Z axes to determine the best location of the work-piece. It is found that the proposed method can reduce the movement of the X,Y, and Z axes (this save the energy consumption and sometimes improve the machining time) significantly.