Implicit Functionally Graded Conforming Microstructures

Q. Youn Hong, Gershon Elber, Myung Soo Kim

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

The tensor product parametric representations are the most commonly used representation in geometric modeling. Yet, other representations have advantages in certain aspects, and in this work, we focus on employing implicit representations in the construction of microstructures. An implicit function, either functionally precise, or spline trivariate-based, is used to populate a macro-shape trivariate parametric form, and construct a conforming microstructure. Either the implicit tile or the macro-shape can be functionally graded or be heterogeneous, carrying graded properties such as material, translucency, or color alongside the geometry. Further, the implicit tiles can be parametrized and hence their geometry can vary across the macro-shape. The representation is locally precise and we demonstrate that in a slicing process that employs no (piecewise-linear) approximation. Finally, we demonstrate this framework on several 3D printed heterogeneous models.

Original languageEnglish
Article number103548
JournalCAD Computer Aided Design
Volume162
DOIs
StatePublished - Sep 2023

Keywords

  • Efficient non-linear inversions
  • Functionally graded materials (FGM)
  • Implicit representations
  • Precise slicing for additive manufacturing
  • Triply periodic minimal surfaces (TPMS)
  • Volumetric trivariate splines

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Industrial and Manufacturing Engineering

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