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首页> 外文期刊>Computer-Aided Design >A Framework for Adaptive Width Control of Dense Contour-Parallel Toolpaths in Fused Deposition Modeling
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A Framework for Adaptive Width Control of Dense Contour-Parallel Toolpaths in Fused Deposition Modeling

机译:融合沉积建模中密集轮廓平行刀具路径的自适应宽度控制框架

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摘要

3D printing techniques such as Fused Deposition Modeling (FDM) have enabled the fabrication of complex geometry quickly and cheaply. Objects are produced by filling (a portion of) the 2D polygons of consecutive layers with contour-parallel extrusion toolpaths. Uniform width toolpaths consisting of inward offsets from the outline polygons produce over- and underfill regions in the center of the shape, which are especially detrimental to the mechanical performance of thin parts. In order to fill shapes with arbitrary diameter densely the toolpaths require adaptive width. Existing approaches for generating toolpaths with adaptive width result in a large variation in widths, which for some hardware systems is difficult to realize accurately. In this paper we present a framework which supports multiple schemes to generate toolpaths with adaptive width, by employing a function to decide the number of beads and their widths. Furthermore, we propose a novel scheme which reduces extreme bead widths, while limiting the number of altered toolpaths. We statistically validate the effectiveness of our framework and this novel scheme on a data set of representative 3D models, and physically validate it by developing a technique, called back pressure compensation, for off-the-shelf FDM systems to effectively realize adaptive width. (C) 2020 The Author( s). Published by Elsevier Ltd.
机译:3D打印技术,如熔融沉积建模(FDM)使得能够快速和便宜地制造复杂的几何形状。通过用轮廓平行挤出刀具填充(一部分)连续层的2D多边形的2D多边形来产生物体。由轮廓多边形的向内偏移组成的均匀宽度刀具,在形状的中心产生过度和底部的区域,这对薄部件的机械性能特别有害。为了填充具有任意直径的形状,刀具路径密集需要自适应宽度。用于生成具有自适应宽度的刀具路径的现有方法导致宽度的大变化,这对于一些硬件系统难以准确地实现。在本文中,我们介绍了一种框架,它通过采用功能来决定珠子数及其宽度来生成具有自适应宽度的多种方案来生成刀具路径。此外,我们提出了一种新颖的方案,该方案减少了极端的珠子宽度,同时限制了改变的刀具路径的数量。我们在统计上验证我们的框架和本新颖方案在代表性3D模型的数据集上,并且通过开发一种被称为背部压力补偿的技术来物理验证,以便有效地实现自适应宽度。 (c)2020提交人。 elsevier有限公司出版

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