34-Issue 6

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https://diglib.eg.org/handle/10.2312/13787

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Browsing 34-Issue 6 by Subject "3D printing"

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    Saliency‐Preserving Slicing Optimization for Effective 3D Printing
    (Copyright © 2015 The Eurographics Association and John Wiley & Sons Ltd., 2015) Wang, Weiming; Chao, Haiyuan; Tong, Jing; Yang, Zhouwang; Tong, Xin; Li, Hang; Liu, Xiuping; Liu, Ligang; Deussen, Oliver and Zhang, Hao (Richard)
    We present an adaptive slicing scheme for reducing the manufacturing time for 3D printing systems. Based on a new saliency‐based metric, our method optimizes the thicknesses of slicing layers to save printing time and preserve the visual quality of the printing results. We formulate the problem as a constrained ℓ optimization and compute the slicing result via a two‐step optimization scheme. To further reduce printing time, we develop a saliency‐based segmentation scheme to partition an object into subparts and then optimize the slicing of each subpart separately. We validate our method with a large set of 3D shapes ranging from CAD models to scanned objects. Results show that our method saves printing time by 30–40% and generates 3D objects that are visually similar to the ones printed with the finest resolution possible.We present an adaptive slicing scheme for reducing the manufacturing time for 3D printing systems. Based on a new saliency‐based metric, our method optimizes the thicknesses of slicing layers to save printing time and preserve the visual quality of the printing results. We formulate the problem as a constrained ℓ optimization and compute the slicing result via a two‐step optimization scheme. To further reduce printing time, we develop a saliency‐based segmentation scheme to partition an object into subparts and then optimize the slicing of each subpart separately. We validate our method with a large set of 3D shapes ranging from CAD models to scanned objects. Results show that our method saves printing time by 30–40% and generates 3D objects that are visually similar to the ones printed with the finest resolution possible.