GRROSYApr 28, 2020

A framework for adaptive width control of dense contour-parallel toolpaths in fused deposition modeling

arXiv:2004.13497v11 citations
Originality Incremental advance
AI Analysis

This addresses mechanical performance issues in FDM 3D printing for thin parts, but it is incremental as it builds on existing adaptive width methods.

The paper tackles the problem of over- and underfill in 3D printing thin parts by proposing a framework for adaptive width control in contour-parallel toolpaths, which reduces extreme bead widths and is validated statistically and physically with back pressure compensation.

3D printing techniques such as Fused Deposition Modeling (FDM) have enabled the fabrication of complex geometry quickly and cheaply. High stiffness parts are produced by filling 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.

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