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Research on Optimization of 3D Printing Manufacturing Technology Based on Segmentation Algorithm

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DOI: 10.23977/msom.2023.040302 | Downloads: 7 | Views: 494


Huo Xiao 1, Xia Chao 1, Liu Fang 1


1 Engineering Department, Rinoart (Guangzhou) Home Technology Co., Ltd, Guangzhou, Guangdong, 510140, China

Corresponding Author

Huo Xiao


3D printing technology is a relatively mature processing technology. In actual production, external support needs to be added to ensure the smooth progress of the processing process. Tree support is a new type of external support method. Combined with instance segmentation technology in artificial intelligence, it can better solve the problems of collapse, deformation, and lack of precision in the 3D printing process and improve production efficiency. For the feature loss problem in the printing model, a new instance segmentation algorithm is adopted, including deepening the feature extraction architecture and using the nonlinear activation function Mish. For the feature reconstruction after instance segmentation, this paper optimizes and improves the classical concealment method, including the spatial range concealment method Z-buffer algorithm and the area scan line algorithm of the plane range concealment method to realize the projection mapping transformation of the 3D object model by combining coordinate refinement and Z-buffer algorithm.


3D printing, instance segmentation, blanking method


Huo Xiao, Xia Chao, Liu Fang, Research on Optimization of 3D Printing Manufacturing Technology Based on Segmentation Algorithm. Manufacturing and Service Operations Management (2023) Vol. 4: 8-14. DOI:


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