激光切割路径的势场-蚁群算法规划

Potential field-ant colony algorithm for laser cutting path planning

为减少激光切割过程中空行程对切割效率的影响以及切割热对切割质量的影响,研究一种切割起始点选择策略,提出一种改进的势场-蚁群算法,在蚁群算法的启发式因子中加入势场力因子,保证蚁群搜索能力的同时增加蚁群寻迹的方向性。对路径进行规划仿真和切割实验,并使用红外热像仪进行温度监测,与经典蚁群算法等算法对比切割路径的空行程减少12.92%~23.44%,切割时间减少1.43%~2.39%,切割热减少37.92%~62.25%。实验结果表明,该势场-蚁群算法能够显著缩短空行程,减少切割时间,提高切割效率,减少切割热聚集,保证切割质量。

In order to reduce the impact of air moves on cutting efficiency and the impact of cutting heat on cutting quality during laser cutting,a cutting starting point selection strategy was studied,an improved Potential Field-Ant Colony Algorithm was proposed.The potential field force factor was added to the heuristic factor of the Ant Colony Algorithm to ensure the ant colony search ability and increase the direction of search of the ant colony.The path planning simulation and cutting experiment were carried out,and the infrared thermal imager was used for temperature monitoring.Compared with the classical Ant Colony Algorithm and other algorithms,the air moves of the cutting path was reduced by 12.92%~23.44%,the cutting time was reduced by 1.43%~2.39%,and the cutting heat was reduced by 37.92%~62.25%.The experimental results show that the Potential Field-Ant Colony Algorithm can significantly shorten the air move,reduce cutting time,improve cutting efficiency,reduce cutting heat accumulation,and ensure cutting quality.