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