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李大伟, 戴宁, 姜晓通, 程筱胜. 密度感知的3D打印内部支撑结构轻量化建模[J]. 计算机辅助设计与图形学学报, 2016, 28(5): 841-848.
引用本文: 李大伟, 戴宁, 姜晓通, 程筱胜. 密度感知的3D打印内部支撑结构轻量化建模[J]. 计算机辅助设计与图形学学报, 2016, 28(5): 841-848.
Li Dawei, Dai Ning, Jiang Xiaotong, Cheng Xiaosheng. Density Aware Internal Supporting Structure Light-Weighting Modeling of 3D Printed Objects[J]. Journal of Computer-Aided Design & Computer Graphics, 2016, 28(5): 841-848.
Citation: Li Dawei, Dai Ning, Jiang Xiaotong, Cheng Xiaosheng. Density Aware Internal Supporting Structure Light-Weighting Modeling of 3D Printed Objects[J]. Journal of Computer-Aided Design & Computer Graphics, 2016, 28(5): 841-848.

密度感知的3D打印内部支撑结构轻量化建模

Density Aware Internal Supporting Structure Light-Weighting Modeling of 3D Printed Objects

  • 摘要: 为实现3D打印模型符合力学特性的轻量化建模,根据结构分析生成密度可控的内部支撑结构,提出一种密度感知的内部支撑结构建模方案.首先利用基于截面结构分析的方法获得模型在给定载荷条件下的应力状态;然后提出使用泊松重建偏置点来实现模型偏置的解决方案;再根据应力分布,采用隐函数表达的参数化结构作为模型的内部支撑结构,并通过优化局部区域的填充密度来实现整体设计目标;最后从参数化表达的内部结构模型中提取等势面,将其直接转化为三角网格模型.实验结果表明,该方法能构建密度感知的内部支撑结构来满足局部区域的力性能需求,并能够保证内部结构之间的平滑连接,同时避免因大量布尔运算操作产生的错误.

     

    Abstract: In order to implement light-weight modeling of 3D printed objects and satisfy the mechanical properties, this paper proposes an internal supporting structure modeling method based on density awareness. Firstly, the stress distribution of 3D objects is estimated by analyzing the cross-sectional structure. Secondly, a mesh offset algorithm is proposed, which is based on Poisson Reconstruction. Then, according to the stress distribution, the internal supporting structures are parameterized with the implicit function. We could optimize the local infilling density to realize the whole design goal. Finally, a mesh surface is extracted from the assembled parametric model to represent the internal structure of the model. Experimental results illustrate that this method can generate the mesh model with gradient and smooth porous structures, avoiding possible errors from a large number of Boolean operations.

     

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