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作 者:吕宁 李云旭[2] LU Ning;LI Yunxu(School of Mechanical Engineering,Yangzhou Polytechnic College,Yangzhou Jiangsu 225009,China;School of Automation,Harbin University of Science and Technology,Harbin 150080,China)
机构地区:[1]扬州职业大学机械工程学院,江苏扬州225009 [2]哈尔滨理工大学自动化学院,哈尔滨150080
出 处:《机械设计与研究》2021年第3期122-125,131,共5页Machine Design And Research
摘 要:在研究3D打印切片过程中,针对当前存在打印效率低、加工时间长等问题,提出一种熔融沉积式3D打印切片轮廓路径优化算法。该算法采用一种改进的最短距离法确定各个轮廓的打印起始点,并将蚁群算法与遗传算法有效结合,形成一种改进的蚁群算法模型,最后应用到3D打印切片轮廓路径规划中,求出单层轮廓的最优打印顺序。通过与传统切片软件Cura和Slic3r进行打印实验对比,采用本文提出的优化算法打印实验零件的单层轮廓打印路径长度分别减少了18.68%和17.53%,打印时间缩短了13.83%和13.15%。结果表明,本文提出的一种熔融沉积式3D打印切片轮廓路径优化算法的打印效率更高,打印时间更短。In the process of studying 3 D printing slices,in view of the current problems such as low printing efficiency and long processing time,a melt deposition algorithm for optimizing the contour path of 3 D printing slices is proposed.The algorithm uses the improved shortest distance method to determine the starting point of contour printing,and effectively combines the ant colony algorithm with the genetic algorithm to form an improved ant colony algorithm model,which is finally applied to the 3 D printing slice contour path planning to find a single the optimal printing order of layer outlines.Compared with traditional slicing software Cura and Slic3 r for printing experiments,the single-layer contour printing path length of the experimental model printed by the optimized algorithm proposed in this paper is reduced by 18.68%and 17.53%,and the printing time is shortened by 13.83%and 13.15%.The results show that the proposed algorithm for optimizing the contour path of fused deposition 3 D printing slices has higher printing efficiency and shorter printing time.
关 键 词:3D打印 熔融沉积 路径规划 蚁群算法 遗传算法
分 类 号:TP274[自动化与计算机技术—检测技术与自动化装置]
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