摘要
传统方法依赖于人工经验或者简单的算法,导致切割路径不理想,跟踪精度较低,因此,针对金属材料激光切割路径高精度跟踪方法展开研究。动态调整随机采样点生成频率,提高路径跟踪效率,考虑到金属平面板材的空间随机性,令随机点分布的朝向偏向目标方向,增强路径跟踪的导向性,根据路径代价与三阶B样条函数去冗和平滑切割路径,结合切割误差校正实现激光切割路径跟踪。实验结果表明,所提方法可充分生成满足切割要求的优质路径,规划耗时为5.67,交叉路径数量为0个,为激光切割技术的发展提供有力支持。
Traditional methods rely on manual experience or simple algorithms,resulting in unsatisfactory cutting paths and low tracking accuracy.Therefore,research is being conducted on high-precision tracking methods for laser cutting paths of metal materials.Dynamically adjust the frequency of random sampling points to improve path tracking efficiency.Considering the spatial randomness of metal flat plates,the orientation of random point distribution is biased towards the target direction to enhance the directionality of path tracking.Based on the path cost and third-order Bspline function,the cutting path is deduplicated and smoothed.Combined with cutting error correction,laser cutting path tracking is achieved.The experimental results show that the proposed method can fully generate high-quality paths that meet the cutting requirements,with a planning time of 5.67 and 0 intersecting paths,providing strong support for the development of laser cutting technology.
作者
潘蓉
刘金库
严莹
沈秋惠
熊焰
PAN Rong;LIU Jinku;YAN Ying;SHEN Qiuhui;XIONG Yan(Engineering Innovation Practice Center,East China University of Science&Technology,Shanghai 201424,China)
出处
《激光杂志》
北大核心
2025年第11期216-222,共7页
Laser Journal
基金
国家自然科学基金(No.22378131)
华东理工大学2024年本科实践教学改革与建设项目(No.校教[2024]14号)。
