2016
DOI: 10.1016/j.cad.2016.04.003
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Implicit slicing for functionally tailored additive manufacturing

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Cited by 94 publications
(31 citation statements)
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“…There are other contexts in additive manufacturing where isolines of equal spacing are desirable, for instance to generate fill patterns following optimized fields [Steuben et al 2016] or for curved 3D printing [Ezair et al 2018]. We believe our approach to be especially promising to decompose a 3D shape into solid slabs, before filling them with curved paths (using contouring and zigzag fill within the extracted curved slab [Chakraborty et al 2008]).…”
Section: Infill Patterns For 3d Printingmentioning
confidence: 99%
“…There are other contexts in additive manufacturing where isolines of equal spacing are desirable, for instance to generate fill patterns following optimized fields [Steuben et al 2016] or for curved 3D printing [Ezair et al 2018]. We believe our approach to be especially promising to decompose a 3D shape into solid slabs, before filling them with curved paths (using contouring and zigzag fill within the extracted curved slab [Chakraborty et al 2008]).…”
Section: Infill Patterns For 3d Printingmentioning
confidence: 99%
“…[ 87 ] FEA methods have been widely used to optimize the distribution of graded cellular lattice structures and enhance the strength‐to‐weight ratio of FGSs. [ 45,48,88–90 ] Geometrical complexity of predesigned 3D objects results in a computationally cumbersome discretization procedure at the mesh definition stage in FEA. Parthasarathy et al [ 88 ] incorporated a RVE method into FEA for simulation of the stiffness of FGSs with greatly improved computational efficiency.…”
Section: Design Concepts For Fgmammentioning
confidence: 99%
“…Researchers have started to consider the influence of toolpaths on the mechanical strength of 3D printed models. An implicit function based toolpath generation algorithm for 3D printing has been developed in [Steuben et al 2016]. Their toolpaths are governed by stress-fields on 2D slices for fabrication.…”
Section: Toolpath Generationmentioning
confidence: 99%