Near-convex decomposition and layering for efficient 3D printing
Near-convex decomposition and layering for efficient 3D printing
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DOI：
10.1016/j.addma.2018.03.008
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发表时间：
2018-05
影响因子：
11
通讯作者：
Ilke Demir;Daniel G. Aliaga;Bedrich Benes
中科院分区：
文献类型：
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作者：
Ilke Demir;Daniel G. Aliaga;Bedrich Benes
我们介绍了一种新的分而治之的3D打印方法，它提供了自动分解和配置的输入对象到打印就绪的组件。我们的方法通过减少材料消耗，减少打印时间和提高打印模型的保真度来改进3D打印。一个输入对象被分解成一组组件获得的近凸分割，最小化的能量函数。然后，配置阶段提供了一个强大的算法来打包组件，以实现高效的打印作业。我们的方法已经在模拟模型和真实世界的打印对象上进行了测试。我们的研究结果表明，该框架可以减少打印时间高达65%（熔融沉积成型，或FDM）和36%（立体光刻，或SLA）平均和减少材料消耗高达35%（FDM）和10%（SLA）的消费打印机，同时还提供更准确的对象。
We introduce a novel divide-and-conquer approach for 3D printing, which provides automatic decomposition and configuration of an input object into print-ready components. Our method improves 3D printing by reducing material consumption, decreasing printing time, and improving fidelity of printed models. An input object is decomposed into a set of components obtained by a near-convex segmentation that minimizes an energy function. Then the configuration phase provides a robust algorithm to pack the components for an efficient print job. Our approach has been tested on both simulated models and real-world printed objects. Our results show that the framework can reduce print time by up to 65% (fused deposition modeling, or FDM) and 36% (stereolithography, or SLA) on average and diminish material consumption by up to 35% (FDM) and 10% (SLA) on consumer printers, while also providing more accurate objects.