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Near support-free multi-directional 3D printing via global-optimal decomposition
Graphical Models ( IF 2.5 ) Pub Date : 2019-06-11 , DOI: 10.1016/j.gmod.2019.101034
Yisong Gao , Lifang Wu , Dong-Ming Yan , Liangliang Nan

In 3D printing, it is critical to use as few as possible supporting materials for efficiency and material saving. Multiple model decomposition methods and multi-DOF (degrees of freedom) 3D printers have been developed to address this issue. However, most systems utilize model decomposition and multi-DOF independently. Only a few existing approaches combine the two, i.e. partitioning the models for multi-DOF printing. In this paper, we present a novel model decomposition method for multi-directional 3D printing, allowing consistent printing with the least cost of supporting materials. Our method is based on a global optimization that minimizes the surface area to be supported for a 3D model. The printing sequence is determined inherently by minimizing a single global objective function. Experiments on various complex 3D models using a five-DOF 3D printer have demonstrated the effectiveness of our approach.



中文翻译:

通过全局最优分解实现近乎无支撑的多方向3D打印

在3D打印中,至关重要的是使用尽可能少的辅助材料以提高效率和节省材料。已经开发出多种模型分解方法和多种DOF(自由度)3D打印机来解决此问题。但是,大多数系统独立地使用模型分解和多自由度。只有很少的现有方法将两者结合起来,即对模型进行分区以进行多自由度打印。在本文中,我们提出了一种用于多方向3D打印的新颖模型分解方法,该方法可以用最少的辅助材料成本进行一致的打印。我们的方法基于全局优化,可将3D模型支持的表面积最小化。通过最小化单个全局目标函数来固有地确定打印顺序。

更新日期:2019-06-11
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