Partition scanning strategy of laser powder bed fusion based on path quality evaluation algorithm
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.
laser powder bed fusion(LPBF)selective laser melting(SLM)path planningpath evaluationpartition pathadditive manufacturingweak area of parts
万方数据
维普
