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Slice Data Based Support Generation Algorithm for Fused Deposition Modeling

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【作者】 黄小毛叶春生莫健华刘海涛

【Author】 HUANG Xiaomao , YE Chunsheng , MO Jianhua , LIU Haitao Rapid Prototyping Center, State Key Laboratory of Material Process and Die and Mould Technology, Huazhong University of Science and Technology, Wuhan 430074, China

【机构】 Rapid Prototyping Center, State Key Laboratory of Material Process and Die and Mould Technology, Huazhong University of Science and Technology

【摘要】 This paper presents a robust algorithm to generate support for fused deposition modeling (FDM). Since many flaws appear in most stereo lithography (STL) models, this algorithm utilizes slice data as input. A top-down approach was used to calculate the support slice layer by layer. The generation algorithm was described in detail including the slice grouping, oriental bounding box (OBB) calculation, offsetting, and Boolean operations. Several cases are given to validate the efficiency and robustness of the procedure. The algorithm provides necessary support not only for hanging surface but also for hanging vertexes and edges with O(n) time complexity, where n is the number of layers. The algorithm fully utilizes the parts’ self-support ability and reduces support volume to the maximum extent. This slice data based algorithm has the same efficiency as the STL based algorithm but is more stable, which significantly enhances the robustness of the support generation process.

【Abstract】 This paper presents a robust algorithm to generate support for fused deposition modeling (FDM). Since many flaws appear in most stereo lithography (STL) models, this algorithm utilizes slice data as input. A top-down approach was used to calculate the support slice layer by layer. The generation algorithm was described in detail including the slice grouping, oriental bounding box (OBB) calculation, offsetting, and Boolean operations. Several cases are given to validate the efficiency and robustness of the procedure. The algorithm provides necessary support not only for hanging surface but also for hanging vertexes and edges with O(n) time complexity, where n is the number of layers. The algorithm fully utilizes the parts’ self-support ability and reduces support volume to the maximum extent. This slice data based algorithm has the same efficiency as the STL based algorithm but is more stable, which significantly enhances the robustness of the support generation process.

【基金】 Supported by the Natural Science Fund Project of Hubei Province of China (2004ABC001)
  • 【文献出处】 Tsinghua Science and Technology ,清华大学学报(自然科学版)(英文版) , 编辑部邮箱 ,2009年S1期
  • 【分类号】TP18
  • 【被引频次】29
  • 【下载频次】162
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