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Implicit slicing for functionally tailored additive manufacturing

delete2016-08-01
delete117
PRE
AI
J
John C. Steuben
A
Athanasios Iliopoulos
J
John G. Michopoulos *
DOI:10.1016/j.cad.2016.04.003delete
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Abstract

Abstract

En 中文
One crucial component of the additive manufacturing software toolchain is a class of geometric algorithms known as slicers. The purpose of the slicer is to compute a parametric toolpath and associated commands, which direct an additive manufacturing system to produce a physical realization of a three-dimensional input model. Existing slicing algorithms operate by application of geometric transformations upon the input geometry in order to produce the toolpath. In this paper we introduce a new implicit slicing algorithm based on the computation of toolpaths derived from the level sets of arbitrary heuristics based or physics-based fields defined over the input geometry. This enables computationally efficient slicing of arbitrarily complex geometries in a straight forward fashion. Additionally, the calculation of component infill (as a process control parameter) is explored due to its crucial effect on functional performance fields of interest such as strain and stress distributions. Several examples of the application of the proposed implicit slicer are presented. Finally, an example demonstrating improved structural performance during physical testing is presented. We conclude with remarks regarding the strengths of the implicit approach relative to existing explicit approaches, and discuss future work required in order to extend the methodology. Published by Elsevier Ltd.
Keywords:
Additive manufacturing
Toolpath generation
Implicit slicer
Digital thread
Functionally tailored materials
g-code generator
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

C
Computer-Aided Design
IF:
3.1
Papers:
3.2K
Citations:
6.4K

Organization

United States Department of Defense cover
United States Department of Defense
Scholars:
2.8W
Papers: 2.3W
Citations: 172
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