A Methodology for Evaluating Dimensional Accuracy in Reverse Engineering Workflows

Authors

DOI:

https://doi.org/10.7494/jcme.2026.10.3.61

Keywords:

3D scanning, accuracy evaluation, measurement, mesh processing, engineering

Abstract

Reverse engineering is widely used for the digital reconstruction of physical objects; however, the dimensional accuracy of the resulting models depends on a sequence of interconnected processes, including manufacturing, 3D scanning, data processing, and model reconstruction. Most existing studies evaluate individual devices or technologies separately, while the cumulative influence of the entire workflow is rarely addressed in a systematic manner. This paper proposes a structured methodology for evaluating the dimensional accuracy of reverse engineering systems as integrated processes. The proposed framework defines a repeatable workflow consisting of reference artifact design, additive manufacturing, object digitisation, mesh processing, CAD reconstruction, and dimensional evaluation. The methodology provides a general framework that can be applied to different reverse engineering technologies and measurement systems. Its objective is to support consistent accuracy evaluation, improve the comparability of results across studies, and contribute to the development of standardised procedures for assessing reverse engineering workflows.

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Author Biographies

  • Kristína Kovalčíková, Technical University of Košice

    PhD. student.

    Phd student Ing. Kristína Kovalčíková (year of birth: 1999): Her scientific research activities were primarily focused on the analysis of accuracy in reverse engineering systems. She specialized in the precision of filament-based additive manufacturing, 3D scanning accuracy, measurement techniques for scanned objects in Inspect GOM software, post-processing in SolidWorks, and modeling in CATIA. Since 2024, she has been a PhD student at the Institute of Metallurgical Technologies and Digital Transformation, Faculty of Materials, Metallurgy, and Recycling at the Technical University of Košice. Her current research focuses on the sustainability of 3D printing and the compatibility analysis of biodegradable polymers with FDM additive manufacturing technology.

  • Marek Šolc, Technical University of Košice

    Associate profesor.

    Assoc. professor Ing. Marek Šolc, PhD. (year of birth: 1976) studied Industrial Management engineering at the Technical University of Kosice. Since 2003, he is employed as an assistent professor at the Institute of Materials and Quality Engineering, Faculty of Materials, Metallurgy and Recycling. In 2003, he received her doctorate in the field of Metallurgy. In 2014, he received his title associate professor in the field of Quality of production. His scientific research activities cover the area of quality production and management systems, especially safety management systems and project management. He also deals with the issue of reliability and safety systems and management of hazardous operations.

  • Dominik Dubec, Technical University of Košice

    PhD. student

    Mgr. Dominik Dubec (born in 1980) His research focuses on the implementation of low-carbon and carbon-free iron and steel production technologies. He examines the potential for integrating these technologies into current industrial practices, with a particular emphasis on their environmental impact and contribution to sustainable development goals. He also explores the economic and employment implications of adopting such technologies, considering the broader energy and security considerations that they entail. His research is aimed at promoting a more sustainable and environmentally friendly approach to industrial manufacturing, particularly in the metallurgy sector.

  • Tomasz Małysa, Silesian University of Technology

    Assistant professor.

    Tomasz Małysa, Ph.D. Eng., (year of birth: 1984) assistant professor at the Department of Production Engineering at the Faculty of Materials Science of the Silesian University of Technology. Scientific and research interests focus on the possibility of adapting econometric models in the field of forecasting accidents at work, occupational diseases, technical safety at work, safe usage of machines, and occupational risk management.

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Published

2026-09-30

Issue

Vol. 10 No. 3 (2026)

Section

Original Articles

License

Copyright (c) 2026 Kristína Kovalčíková, Marek Šolc, Dominik Dubec, Tomasz Małysa

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Kovalčíková, K., Šolc, M., Dubec, D., & Małysa, T. (2026). A Methodology for Evaluating Dimensional Accuracy in Reverse Engineering Workflows. Journal of Casting & Materials Engineering, 10(3), 61-71. https://doi.org/10.7494/jcme.2026.10.3.61

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