Research And Design Of Filling Path Planning And Support Algorithm In 3D Printing

Compared with the traditional manufacturing industry,3D Printing technology is a direct modeling technology for modeling data such as CAD software.The automatic digital modeling mode using software input and hardware output greatly reduces technical thresholds and the labor costs of the modeling process.Not only that,3D printing using materials such as liquids,powders,metals,and food materials has broken the industry's limitations in the manufacturing industry,bringing great convenience to people's lives.In addition to the need for hardware support,the slicing engine is the core component of the 3D printing technology software section.The 3D printing slicing engine controls the printing process of the entire printer by layering,filling,and supporting calculations by modeling software such as CAD.The filling algorithm and supporting algorithm in the engine directly affect the forming quality of the print model.Therefore,the research and improvement of these two algorithms has been an important work in 3D printing technology.By analyzing the filling algorithm and supporting algorithm of the mainstream slicing engine at the present stage,the paper puts forward the Voronoi diagram filling algorithm based on image segmentation technology and the adaptive support algorithm based on the distance region division,combining the latest domestic and foreign research results.The Voronoi graph filling algorithm based on image segmentation technology adopts the idea of partitioning algorithm.The complex multi-connected polygons are divided into multiple connected monogonal polygons by using image segmentation technology to construct Voronoi diagrams,and finally the filling path is generated.The adaptive support algorithm based on the distance region partitioning is to refine and classify the areas to be supported in the print model,and comprehensively support the columnar support and the tree support.The Voronoi diagram filling algorithm based on image segmentation technology and the adaptive support algorithm based on the distance region division can effectively reduce the number of nozzle emptying,number of nozzle retraction and nozzle acceleration during 3D printing,and avoid nozzle and physical model thinning.The touch of the wall greatly saves printing materials and shortens printing time.Finally,through the encapsulation and experimental testing of the algorithm,the feasibility and practicability of the two new algorithms are verified.