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

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

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.

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

[1] Godfrey C. Onwubolu,et al. Optimal path for automated drilling operations by a new heuristic approach using particle swarm optimization , 2004 .

[2] Min Liu,et al. Study on Optimal Path Changing Tools in CNC Turret Typing Machine Based on Genetic Algorithm , 2010, CCTA.

[3] Maghsud Solimanpur,et al. An ant algorithm for optimization of hole-making operations , 2007, Comput. Ind. Eng..

[4] Xiaojun Liu,et al. Process planning optimization of hole-making operations using ant colony algorithm , 2013 .

[5] F. Leung,et al. Should borderline personality disorder be included in the fourth edition of the Chinese classification of mental disorders? , 2007, Chinese medical journal.

[6] Hua Zhang,et al. Laser drilling assisted with jet electrochemical machining for the minimization of recast and spatter , 2012 .

[7] Bibhuti Bhusan Biswal,et al. Determination of optimum parameters with multi-performance characteristics in laser drilling—A grey relational analysis approach , 2011 .