Algorithm for Generating Gradient Infills in Load-bearing 3D-printed Parts

Authors

  • David Juracka
    Affiliation
    Department of Structural Mechanics, Faculty of Civil Engineering, VSB – Technical University of Ostrava, Ludvíka Podéště 1875/17, 708 00 Ostrava-Poruba, Czech Republic
  • Martin Krejsa
    Affiliation
    Department of Structural Mechanics, Faculty of Civil Engineering, VSB – Technical University of Ostrava, Ludvíka Podéště 1875/17, 708 00 Ostrava-Poruba, Czech Republic
  • Jiri Brozovsky
    Affiliation
    Department of Structural Mechanics, Faculty of Civil Engineering, VSB – Technical University of Ostrava, Ludvíka Podéště 1875/17, 708 00 Ostrava-Poruba, Czech Republic
https://doi.org/10.3311/PPci.30373

Abstract

In many applications, it is crucial to design load-bearing elements that meet strength and stiffness requirements while minimizing material usage. Using additive manufacturing (AM), these goals can be achieved. With 3D printing technology is possible to create an internal structure — referred to as infill or lattice structure — generated by a dedicated algorithm. A special place is occupied by functionally graded lattice structures (FGLS), which are generated with tunable properties. which is the focus of this article. The primary objective of this algorithm is to create an internal parametric structure with variable thickness for any given cross-sectional shape. Secondary, the algorithm can calculate its cross-sectional characteristics. To evaluate its functionality and effectives, a series of 9 virtual models of cross-sections with 2 varying parameters were generated and subsequently compared with numerical models.

Keywords:

3D printing, infill, algorithm, Rhino-Grasshopper, ANSYS

Citation data from Crossref and Scopus

Published Online

2026-02-12

How to Cite

Juracka, D., Krejsa, M., Brozovsky, J. “Algorithm for Generating Gradient Infills in Load-bearing 3D-printed Parts”, Periodica Polytechnica Civil Engineering, 2026. https://doi.org/10.3311/PPci.30373

Issue

Section

Research Article