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Comparison of advanced 3d scanning technologies for quality control

22. December, 2025

Jakob Fabjan, Adela Pišmo, mag., doc. dr. Vesna Pungerčar, univ. dipl. inž., dr. Slavko Arh, univ. dipl. inž.,  vsi Rudolfovo – Znanstveno in tehnološko središče Novo mesto

Ventil 31 (2025) 6 / Review articles / Technical article – 1.04

Revija Ventil

Abstract​:
3D scanning is a non-contact technology that can convert a physical object into a digital model, enabling the industry to perform reverse engineering and quality control (checking compliance with regulations). Advanced technologies such as 3D scanning are often used in quality control. However, these advanced techniques have certain limitations: for example, if an object has holes or if there is hidden damage inside, these methods cannot detect them. Such information is crucial for predicting the durability of a material and detecting hidden defects (cracks, presence of inclusions, material inhomogeneity). Therefore, our research focuses on comparing three different techniques for capturing three-dimensional data of an industrial aluminum product: 3D structured light scanning, 3D laser light scanning and scanning using computed tomography (CT). The aim was to compare individual techniques in terms of manufacturing accuracy compared to a CAD model and in terms of the amount and quality of information that each technique provides. In doing so, we considered whether the technique allows for the analysis of external geometric properties of materials and other important characteristics. The results of the research show that the combination of 3D scanning together with CT analysis makes sense for high-quality verification and better prediction of the service life of an industrial product.

Key words:
3D scanning with structured light, 3D scanning with laser light, CT scanning, quality control

Copyright (c) 2025 Jakob Fabjan, Adela Pišmo, Vesna Pungerčar, Slavko Arh

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Creative Commons Attribution 4.0 International License.

Except where otherwise noted, articles in
this journal are published under the
Creative Commons Attribution 4.0 International License.

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