journal article·2025-04-03Open access

Methodology for Verification of Geometrically Complex Components Through Reverse Engineering

Peter Gabštur, Marek Kočiško, Jakub Kaščak, Martin Pollák

Applied Sciences· Volume 15· Issue 7

Abstract

Verification of geometrically complex components is a crucial step in ensuring the quality and functionality of industrial products. This article presents a comprehensive methodological approach to their verification using reverse engineering techniques. The study highlights the limitations of traditional measurement methods for complex geometries and proposes a framework that integrates advanced 3D scanning and digital modeling. The methodology involves obtaining accurate geometric data, with deviations during repeated measurements being well within the tolerance range. With a tolerance of ±1 mm, the maximum deviation was −0.66 mm, while the maximum deviation with the highest tolerance of 4.5 mm was 1.19 mm. These data were compared with predefined 3D models to analyze deviations and identify process errors. By applying this detailed methodology, more precise fixtures were created, resulting in measurements with deviations well below the required tolerances, compared to measurements without this methodology. A practical example of the design and verification of a welding fixture for cabin manufacturing illustrates the effectiveness of reverse engineering in detecting inconsistencies and optimizing manufacturing processes. The findings emphasize the importance of geometric accuracy in quality control and demonstrate how reverse engineering can streamline verification processes and enhance product reliability. This approach is particularly valuable for the manufacturing industry, which requires high precision in the production of geometrically complex components.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Manufacturing Process and Optimization · Additive Manufacturing and 3D Printing Technologies · Advanced machining processes and optimization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Computer Aided Manufacturing Technologies, Faculty of Manufacturing Technologies with a Seat in Presov, Technical University of Kosice, Bayerova 1, 08001 Presov, Slovakia

Funding

the Ministry of Education, Research, Development and Youth of the Slovak Republic · the EU NextGenerationEU

References (30)

Show source-provided references
1. Mizera, O., Čepová, L., Sadílek, M., Čep, R., Hrubý, R., and Zelinka, J. (2019). The Problems of Measuring Selected Geometric Deviations on a CMM After Machining. Advances in Manufacturing II: Volume 5-Metrology and Measurement Systems, Springer International Publishing.10.1007/978-3-030-18682-1_13 ↗
2. Geometric errors measurement for coordinate measuring machines
3. Page, D., Koschan, A., and Abidi, M. (2008). Methodologies and techniques for reverse engineering—The potential for automation with 3-d laser scanners. Reverse Engineering: An Industrial Perspective, Springer.
4. A critical look at the coordinate measuring technique10.1016/j.mechatronics.2012.11.002 ↗
5. An integrated approach of reverse engineering aided remanufacturing process for worn components10.1016/j.rcim.2017.02.004 ↗
6. A case study on use of 3D scanning for reverse engineering and quality control10.1016/j.matpr.2021.01.828 ↗
7. Factor analysis of deformation in resistance spot welding of complex steel sheets based on reverse engineering technology and direct finite element analysis10.1016/j.jmapro.2020.06.028 ↗
8. Combining visual analytics and machine learning for reverse engineering in assembly quality control
9. A sustainable reverse engineering process10.1016/j.procir.2021.01.144 ↗
10. Effect of defects on the structural integrity of ship piping welds under simulated piping conditions10.1016/j.oceaneng.2024.118372 ↗
11. Serrati, D.S., Machado, M.A., Oliveira, J.P., and Santos, T.G. (2023). Non-destructive testing inspection for metal components produced using wire and arc additive manufacturing. Metals, 13.10.3390/met13040648 ↗
12. A review on welding techniques: Properties, characterisations and engineering applications
13. Design of Fixture for Welding10.1088/1757-899X/1163/1/012007 ↗
14. Parametric design evolution for production setups; a case study for welding fixtures10.1016/j.procir.2023.09.208 ↗
15. Javaid, M., Haleem, A., and Kumar, L. (2019). Dimensional errors during scanning of product using 3D scanner. Advances in Engineering Design: Select Proceedings of FLAME, Uttar Pradesh, Noida, India 3 October 2018, Springer.10.1007/978-981-13-6469-3_67 ↗
16. Exploring the potential of 3D scanning in Industry 4.0: An overview
17. (2025, February 07). ACE Measuring Arm Range Precisely for You, n.d. Available online: https://www.kreon3d.com/products/ace-measuring-arm.
18. Jędrych, M., Gorzkiewicz, D., Deja, M., and Chodnicki, M. (2024). Application of 3D scanning and computer simulation techniques to assess the shape accuracy of welded components. Int. J. Adv. Manuf. Technol., 1–9.10.1007/s00170-024-14498-4 ↗
19. Hegedűs-Kuti, J., Szőlősi, J., Varga, D., Abonyi, J., Andó, M., and Ruppert, T. (2023). 3d scanner-based identification of welding defects—Clustering the results of point cloud alignment. Sensors, 23.10.3390/s23052503 ↗
20. The influence of various factors on the geometric profile of laser lap welded T-joints10.1007/s00170-014-6114-y ↗
21. Optimization of welding parameters on welding distortion and stress in S690 high-strength steel thin-plate structures10.1016/j.jmrt.2023.05.169 ↗
22. The effects of geometric and metallurgical constraints on ultra-high strength steel weldments10.1016/j.istruc.2023.104900 ↗
23. Singh, I.J., and Murtaza, Q. (2023). A comprehensive review on effect of cold metal transfer welding parameters on dissimilar and similar metal welding. J. Eng. Res.10.1016/j.jer.2023.12.009 ↗
24. Ikumapayi, O.M., Akinlabi, E.T., Madushele, N., and Fatoba, S.O. (2019). A brief overview of bending operation in sheet metal forming. Advances in Manufacturing Engineering: Selected Articles from ICMMPE 2020, Springer.10.1007/978-981-15-5753-8_14 ↗
25. Conceptual design of intelligent reconfigurable welding fixture for rail car manufacturing industry10.1016/j.procir.2020.02.217 ↗
26. Kadam, G., Nagarajan, B., Mirji, V., and Sawant, S. (2024). Design of Rigid-Locking Variable-Angular-Span Welding Fixture. Eng. Proc., 66.10.3390/engproc2024066035 ↗
27. Kang, S., Yun, W., Kim, H., Kim, J., Ji, C., Lee, K., Kim, J., Jang, H.-L., and Chun, K. (2021). A Study on Minimizing Welding Deformation of Joints for the Sealing of Emission After-Treatment Structure. Materials, 14.10.3390/ma14226982 ↗
28. A review of welding simulation methods for large components10.1016/j.pnsc.2023.12.004 ↗
29. Design and analysis of welding fixture for elementary weld joints10.32377/cvrjst1516 ↗
30. Degradation of renovation layers deposited on continuous steel casting rollers by submerged arc welding10.1177/0954405413493405 ↗