Study on the Path Optimized Method Based on an Improved Clustering Ant Colony Algorithm for CNC Laser Drilling

En Te Guo; Ting Wu; Li Bing Zhang; Feng Li Huang

doi:10.4028/www.scientific.net/AMM.556-562.4439

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Study on the Path Optimized Method Based on an...

Study on the Path Optimized Method Based on an Improved Clustering Ant Colony Algorithm for CNC Laser Drilling

Abstract:

In order to improve the machining efficiency of the CNC laser drilling, this paper presents the path optimized method based on an improved ant colony algorithm of the k-means clustering approach. The mathematical model of the path optimization is constructed, and the path optimized method based on the improved clustering ant colony algorithm is designed and actualized. The optimized path method for CNC laser drilling based on the improved clustering ant colony algorithm is tested, and the simulative and experimental result have shown that the proposed method is better performance, and the machining efficiency is greatly improved.