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

Procedia CIRP, vol. 138, pp. 620–625

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.

Authors 5

1. Jonas Großeheide corresponding Aachen Intelligence in Quality Sensing Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   Intelligence in Quality Sensing, Laboratory for Machine Tools and Production Engineering, WZL, RWTH Aachen University, Campus Boulevard 30, 52074 Aachen, Germany

2. Kilian Geiger Aachen Intelligence in Quality Sensing Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   Intelligence in Quality Sensing, Laboratory for Machine Tools and Production Engineering, WZL, RWTH Aachen University, Campus Boulevard 30, 52074 Aachen, Germany

3. Mateus Bortoli Harano Aachen Intelligence in Quality Sensing Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   Intelligence in Quality Sensing, Laboratory for Machine Tools and Production Engineering, WZL, RWTH Aachen University, Campus Boulevard 30, 52074 Aachen, Germany

4. Dominik Wolfschläger Aachen Intelligence in Quality Sensing Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   Intelligence in Quality Sensing, Laboratory for Machine Tools and Production Engineering, WZL, RWTH Aachen University, Campus Boulevard 30, 52074 Aachen, Germany

5. Robert Heinrich Schmitt Aachen Fraunhofer Institute for Production Technology IPT Intelligence in Quality Sensing Laboratory for Machine Tools and Production Engineering (WZL)

   Fraunhofer Institute for Production Technology IPT · RWTH Aachen University

   Affiliation as printed

   Fraunhofer Institute for Production Technology IPT, Steinbachstr. 17, 52074 Aachen, Germany

   Intelligence in Quality Sensing, Laboratory for Machine Tools and Production Engineering, WZL, RWTH Aachen University, Campus Boulevard 30, 52074 Aachen, Germany