Devising an approach to prototyping a worn or deformed aviation part based on reverse engineering

Authors

DOI:

https://doi.org/10.15587/1729-4061.2026.351776

Keywords:

reverse engineering, 3D scanning, geometry reconstruction, geometry accuracy, reconstruction algorithm, digital model, surface control

Abstract

This study estimates the geometric accuracy of an aviation part's digital model constructed from a portrait. The task addressed is to reproduce the geometry of an aviation part based on its original dimensions.

A procedure is proposed for reconstructing the geometry of aviation parts that have wear or deformation (changes in size and shape from the rated ones) and assessing the accuracy of a digital 3D model using RE methods. An approach to digitizing test parts using RE is suggested in the form of a general algorithm for generating data on a digital 3D model of a test part. The algorithm includes 3D scanning, point cloud processing, polygonal model construction, analysis of “shadow zones”, and additional iterations with a change in the position of the part. The latter allowed for high-precision identification of the geometry of the original test part for building a digital 3D model.

The approach was tested on the example of an impeller using a HEXAGON Absolute Arm coordinate measuring machine with an AS-1 laser scanner, which provided a scanning accuracy of ±0.05 mm and a point density of up to 0.026 mm. Current geometry control and correction of deviations using a color map were carried out at each stage of the algorithm implementation. That has made it possible to minimize errors, eliminate “shadow zones”, and restore the lost geometry of the original impeller when building a digital 3D model. The final control of the constructed model showed robustness of the results within the range of ±0.05 mm.

The results could make it possible to prototype test parts with signs of wear or damage with a reproduced high-precision geometry within the tolerance for the manufactured size.

Author Biographies

Kateryna Maiorova, National Aerospace University “Kharkiv Aviation Institute”

PhD, Head of Department

Department of Aircraft Manufacturing Technology

Sergiy Zaklinskyy, National Aerospace University “Kharkiv Aviation Institute”

PhD, Associate Professor

Department of Aircraft Manufacturing Technology

Oleksandra Kapinus, National Aerospace University “Kharkiv Aviation Institute”

PhD Student

Department of Aircraft Manufacturing Technology

Artem Suslov, National Aerospace University “Kharkiv Aviation Institute”

PhD Student

Department of Aircraft Manufacturing Technology

Oleksandr Skyba, National Aerospace University “Kharkiv Aviation Institute”

PhD Student

Department of Aircraft Manufacturing Technology

References

  1. Zong, Y., Liang, J., Pai, W., Ye, M., Ren, M., Zhao, J. et al. (2022). A high-efficiency and high-precision automatic 3D scanning system for industrial parts based on a scanning path planning algorithm. Optics and Lasers in Engineering, 158, 107176. https://doi.org/10.1016/j.optlaseng.2022.107176
  2. Pliuhin, V., Zaklinskyy, S., Plankovsky,y S., Tsegelnyk, Y. (2023). A digital twin design of induction motor with squirrel-cage rotor for insulation condition prediction. International Journal of Mechatronics and Applied Mechanics, I (14). https://doi.org/10.17683/ijomam/issue14.22
  3. Montlahuc, J., Ali Shah, G., Polette, A., Pernot, J.-P. (2019). As-scanned Point Clouds Generation for Virtual Reverse Engineer-ing of CAD Assembly Models. Computer-Aided Design and Applications, 16 (6), 1171–1182. https://doi.org/10.14733/cadaps.2019.1171-1182
  4. Stojkic, Z., Culjak, E., Saravanja, L. (2020). 3D Measurement - Comparison of CMM and 3D Scanner. Proceedings of the 31st International DAAAM Symposium 2020, 0780–0787. https://doi.org/10.2507/31st.daaam.proceedings.108
  5. Sikulskyi, V., Maiorova, K., Shypul, O., Nikichanov, V., Tryfonov, O., Voronko, I., Kapinus, O. (2024). Algorithm for Selecting the Optimal Technology for Rapid Manufacturing and/or Repair of Parts. Integrated Computer Technologies in Mechanical Engineering - 2023, 25–39. https://doi.org/10.1007/978-3-031-61415-6_3
  6. Tretiak, O., Kritskiy, D., Kobzar, I., Arefieva, M., Selevko, V., Brega, D. et al. (2023). Stress-Strained State of the Thrust Bearing Disc of Hydrogenerator-Motor. Computation, 11 (3), 60. https://doi.org/10.3390/computation11030060
  7. Tretiak, O., Kritskiy, D., Kobzar, I., Arefieva, M., Nazarenko, V. (2022). The Methods of Three-Dimensional Modeling of the Hydrogenerator Thrust Bearing. Computation, 10 (9), 152. https://doi.org/10.3390/computation10090152
  8. Bauer, F., Schrapp, M., Szijarto, J. (2019). Accuracy analysis of a piece-to-piece reverse engineering workflow for a turbine foil based on multi-modal computed tomography and additive manufacturing. Precision Engineering, 60, 63–75. https://doi.org/10.1016/j.precisioneng.2019.07.008
  9. Raj, G. B., Reddy, Dr. G. S., Kumar, Dr. L. M. A. (2019). Reverse Engineering on Jet Engine Turbine Disk. International Journal of Innovative Technology and Exploring Engineering, 8 (12), 5118–5122. https://doi.org/10.35940/ijitee.l2757.1081219
  10. Gupta, D., Trivedi, S., Pandya, J. (2024). Design and Analysis of Pump Simulation Approach through Reverse Engineering. 2024 Parul International Conference on Engineering and Technology (PICET), 1–6. https://doi.org/10.1109/picet60765.2024.10716139
  11. Fortini, A., Suman, A., Merlin, M., Garagnani, G. L. (2015). Morphing blades with embedded SMA strips: An experimental investigation. Materials & Design, 85, 785–795. https://doi.org/10.1016/j.matdes.2015.07.175
  12. Subeshan, B., Abdulaziz, A., Khan, Z., Uddin, Md. N., Rahman, M. M., Asmatulu, E. (2022). Reverse Engineering of Aerospace Components Utilizing Additive Manufacturing Technology. TMS 2022 151st Annual Meeting & Exhibition Supplemental Proceedings, 238–246. https://doi.org/10.1007/978-3-030-92381-5_21
  13. Kaiser, J., Dědič, M. (2024). Influence of Material on the Density of a Point Cloud Created Using a Structured-Light 3D Scanner. Applied Sciences, 14 (4), 1476. https://doi.org/10.3390/app14041476
  14. Turek, P., Bezłada, W., Cierpisz, K., Dubiel, K., Frydrych, A., Misiura, J. (2024). Analysis of the Accuracy of CAD Modeling in Engineering and Medical Industries Based on Measurement Data Using Reverse Engineering Methods. Designs, 8 (3), 50. https://doi.org/10.3390/designs8030050
  15. Peter R.N. (2019). Mechanical Design Engineering Handbook. Butterworth-Heinemann, 982. https://doi.org/10.1016/c2016-0-05252-x
  16. Maiorova, K., Lysochenko, I., Skyba, O., Suslov, A., Antonyuk, V. (2025). Analysis of Modern Approaches to Approbation of Aircraft Parts Geometric Data Digitization by Reverse Engineering. Smart Innovations in Energy and Mechanical Systems, 264–273. https://doi.org/10.1007/978-3-031-95191-6_25
  17. Where can I find the User Manual for my Hexagon Romer Absolute Arm? Available at: https://support.hexagonmi.com/s/article/Where-can-I-find-the-User-Manual-for-my-Hexagon-Romer-Absolute-Arm
  18. Stark, R. (2022). Major Technology 6: Digital Mock-Up – DMU. Virtual Product Creation in Industry, 273–304. https://doi.org/10.1007/978-3-662-64301-3_12
  19. Rukhovich, D., Dupont, E., Mallis, D., Cherenkova, K., Kacem, A., Aouada, D. (2024). CAD-Recode: Reverse Engineering CAD Code from Point Clouds. arXiv. https://doi.org/10.48550/arXiv.2412.14042
  20. Pajerová, N., Koptiš, M. (2024). Shape functions to scanner comparison. The International Journal of Advanced Manufacturing Technology, 132 (7-8), 3889–3902. https://doi.org/10.1007/s00170-024-13520-z
  21. Products Overview. Available at: https://www.polyworks.com/en-us/products/products-overview
  22. Geomagic Design X. Available at: https://hexagon.com/products/geomagic-design-x
Devising an approach to prototyping a worn or deformed aviation part based on reverse engineering

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Published

2026-02-27

How to Cite

Maiorova, K., Zaklinskyy, S., Kapinus, O., Suslov, A., & Skyba, O. (2026). Devising an approach to prototyping a worn or deformed aviation part based on reverse engineering. Eastern-European Journal of Enterprise Technologies, 1(1 (139), 96–104. https://doi.org/10.15587/1729-4061.2026.351776

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Section

Engineering technological systems