Synthetic Data Generation for Process-Specific Nominal Geometry in Fused Deposition Modeling

Read full text
Authors: Jonas Großeheide, Kilian Geiger, Mateus Bortoli Harano, Dominik Wolfschläger, Robert Schmitt, :unav
Cited by: 0

Abstract

Fused Deposition Modeling offers a cost-effective approach for producing customized products in small batches. However, the inherent physical constraints of the process result in printed part geometries deviating from the intended nominal geometry, i.e., the CAD. To address this challenge in geometric quality assurance, this research introduces a method for synthetic data generation of process-specific nominal geometry. This involves depositing material along the planned machine path in a voxel-based environment, utilizing a volume conservation model that considers the interaction of the extruded material with its surroundings.

Fields of Study & Subjects

Additive Manufacturing and 3D Printing Technologies Additive Manufacturing Materials and Processes Manufacturing Process and Optimization

Publication details

Journal / source
Fraunhofer-Publica (Fraunhofer-Gesellschaft)
Publication date
1 January 2026
Language
EN