基于路径质量评估算法的LPBF分区扫描策略  

Partition scanning strategy of laser powder bed fusion based on path quality evaluation algorithm

作　　者：王楚 李佳奇 刘洋[1,2] 汤辉亮[1,2] 龙雨 WANG Chu;LI Jiaqi;LIU Yang;TANG Huiliang;LONG Yu(School of Mechanical Engineering,Guangxi University,Nanning 530004,China;State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures,Guangxi University,Nanning 530004,China)

机构地区：[1]广西大学机械工程学院,广西南宁530004 [2]广西大学省部共建特色金属材料与组合结构全寿命安全国家重点实验室,广西南宁530004

出　　处：《机电工程》2024年第12期2243-2251,共9页Journal of Mechanical & Electrical Engineering

基　　金：国家重点研发计划项目(2022YFB4601601);广西重点研发计划项目(GKAB23026101);广西自然科学基金资助项目(2023GXNSFBA026287)。

摘　　要：针对激光粉末床熔融的路径难以适应复杂零件特征,且无法有效识别路径的填充质量,造成打印质量差这一问题,提出了一种以零件薄弱区域为特征的分区扫描算法及路径填充质量评估算法。首先,在数据处理的过程中,根据构成切片轮廓的三维点数据,使用间距均匀的平行线对轮廓进行了扫描,计算了交点间的距离,并对零件中的薄弱区域进行了特征识别与提取;然后,使用提取出的薄弱区域作为零件分区依据,对切片轮廓进行了求交运算,得到了新的切片轮廓并划分了区域,对每个子区域进行了路径填充,并使用路径生成时的点数据进行了路径尖角识别及填充质量评估;最后,对常用的平行线路径、轮廓偏置路径、棋盘分区路径等,采用相同参数打印了同一个零件,并利用超景深显微镜对打印的零件进行了三维形貌测量。研究结果表明:该分区算法减少了对2个薄弱区域的分割,没有形成新的薄弱区域,说明填充质量识别算法可以有效识别路径的尖角及填充情况,保证零件薄弱区域的打印质量,并有效提高零件整体的打印质量。In view of the fact that the scanning path of laser powder bed fusion(LPBF)is difficult to adapt to the characteristics of complex parts,and the path filling quality can not be effectively identified,resulting in poor printing quality.A new partition scanning algorithm characterized by weak areas of parts and path filling quality evaluation algorithm was proposed.Firstly,in the process of data processing,according to the three-dimensional point data that constitute the slice contour,the contour was scanned with parallel lines with uniform spacing,and the distance between the intersection points was calculated to identify and extract the weak areas in the parts.Then,the extracted weak area was used as the basis of part partition and the section contour was intersected according to it.The new section contour was obtained and the area was divided.The scanning path was filled for each subarea,and the point data generated during the path generation was used to identify the sharp corners of the scanning path and evaluate the filling quality.Finally,the same part was printed with the same parameters for different paths,and the 3D morphology of the printed part was measured by using the ultra-depth microscope.The research results show that the partitioning algorithm reduces the segmentation of two weak areas,and no new weak area is formed.The filling quality recognition algorithm can effectively identify the sharp corners and filling conditions of the path,it ensures the printing quality of the weak area of the part,and effectively improve the overall printing quality of the part.

关 键 词：激光粉末床熔融 选择性激光熔化 路径规划 路径评估 分区路径 增材制造 零件薄弱区域 

分 类 号：TH164[机械工程—机械制造及自动化] TG665[金属学及工艺—金属切削加工及机床]