G-Code2STEP-Converter for accurate representation of geometries created by material extrusion

Purpose The purpose of this paper is to address the fidelity gap between original digital designs and manufactured parts in material extrusion additive manufacturing by developing and validating a software framework that generates accurate virtual models based on toolpath data. Design/methodology/approach A software framework, G-Code2STEP-Converter, was developed to generate accurate virtual models of material extrusion-produced parts based on toolpath motions. The framework’s performance was evaluated by conducting both physical and virtual three-point bending tests on specimens with varying infill patterns and densities. The virtual models were analyzed using finite element analysis. Findings Results from the physical and virtual three-point bending experiments exhibited strong correlation for all inspected infill patterns and densities, confirming that the new software framework provides high-fidelity digital representations of the manufactured parts. Research limitations/implications This study focuses on standard three-point bending tests and a range of commonly used infill patterns. Future work could extend the framework’s applicability to other testing methods and more complex geometries. Practical implications The proposed framework enables the creation of high-fidelity digital twins in additive manufacturing workflows, supporting process optimization, quality prediction and archiving of manufacturing intent. Originality/value This work introduces a novel tool for bridging the fidelity gap between designed and manufactured geometries in material extrusion, offering new capabilities for digital part verification and process documentation in additive manufacturing.

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Publication Details

Journal
Rapid Prototyping Journal
Published
2026-02-23
DOI
https://doi.org/10.1108/rpj-09-2025-0421
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
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article

G-Code2STEP-Converter for accurate representation of geometries created by material extrusion

Mathias Fleisch, Michael Berer, Bernd Schrittesser, Sandra Schlögl et al.
Rapid Prototyping Journal
Additive Manufacturing and 3D Printing Technologies
article

G-Code2STEP-Converter for accurate representation of geometries created by material extrusion

Mathias Fleisch, Michael Berer, Bernd Schrittesser, Sandra Schlögl, Gerald Meier
article en

Abstract

Purpose The purpose of this paper is to address the fidelity gap between original digital designs and manufactured parts in material extrusion additive manufacturing by developing and validating a software framework that generates accurate virtual models based on toolpath data. Design/methodology/approach A software framework, G-Code2STEP-Converter, was developed to generate accurate virtual models of material extrusion-produced parts based on toolpath motions. The framework’s performance was evaluated by conducting both physical and virtual three-point bending tests on specimens with varying infill patterns and densities. The virtual models were analyzed using finite element analysis. Findings Results from the physical and virtual three-point bending experiments exhibited strong correlation for all inspected infill patterns and densities, confirming that the new software framework provides high-fidelity digital representations of the manufactured parts. Research limitations/implications This study focuses on standard three-point bending tests and a range of commonly used infill patterns. Future work could extend the framework’s applicability to other testing methods and more complex geometries. Practical implications The proposed framework enables the creation of high-fidelity digital twins in additive manufacturing workflows, supporting process optimization, quality prediction and archiving of manufacturing intent. Originality/value This work introduces a novel tool for bridging the fidelity gap between designed and manufactured geometries in material extrusion, offering new capabilities for digital part verification and process documentation in additive manufacturing.

Rapid Prototyping Journal
Polymer Competence Center Leoben (Austria) (AT), Hydrogenics (Belgium) (BE)
Industry, innovation and infrastructure
Openalex Percentile: Top 49%
Additive Manufacturing and 3D Printing Technologies
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