Toward numerical modeling and experimental full-field validation of non-planar 3D-printed components - source code and data

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Authors: Christian-Lionel Ewougsi Tekeu, Jendrik‐Alexander Tröger, Arash Afshari, David Inkermann, Stefan Hartmann
Cited by: 0

Abstract

The dataset contains source code and data generated during the investigation of modeling and experimental validation of non-planar 3D-printed specimens. The Python source code for the continuous interpolation of G-code coordinates applies to both planar and non-planar specimens and returns the spatially varying preferred directions of anisotropy for a given spatial discretization using finite elements. Material routines for the constitutive models of orthotropy and transversal isotropy are provided as Fortran code. The experimental validation data are provided as force-displacement data from an uniaxial tensile test on non-flat specimen geometries. Axial displacements are determined using 3D digital image correlation, enabling efficient compensation of rigid body movements.

Fields of Study & Subjects

Additive Manufacturing and 3D Printing Technologies Cellular and Composite Structures Elasticity and Material Modeling

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
9 February 2026
Language
EN
Document type
Dataset