Advancing Aircraft Safety through CAx-Enhanced Digitalization and Thermal Stress Testing Methodologies: A Comprehensive Approach
Source abstract
Abstract
Safety is of utmost importance in air transport, and the quality and durability of aircraft construction materials play a significant role in ensuring overall safety. The right technology and methodology for designing, simulating, and testing aircraft components can simplify the process, digitize components, and utilize non-destructive testing methods to increase safety. This article focuses on the digitization, creation of a 3D model, and testing of a small jet engine, MPM-20. Using a 3D scanner and position markers, the authors created a 3D digital model of the engine and adjusted it to the desired state using computer-aided technologies (CAx). Thermo-spectral analysis was then performed on the real object using a thermal camera and associated software. It was found that the engine’s structural integrity was not compromised by excessive thermal load in the specified spatial points. The methodology used can be applied to a wide range of aircraft components, improving their digitization, modification, and stress-testing.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Radiative Heat Transfer Studies · Thermography and Photoacoustic Techniques · Advanced Sensor Technologies Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Aviation Engineering, Faculty of Aeronautics, Technical University of Košice, Rampová 7, 041 21 Košice, Slovakia
Department of Air Transport Management, Faculty of Aeronautics, Technical University of Košice, Rampová 7, 041 21 Košice, Slovakia
References (32)
Show source-provided references
1. Andoga, R., Főző, L., Schrötter, M., Češkovič, M., Szabó, S., Bréda, R., and Schreiner, M. (2019). Intelligent thermal Imaging-Based diagnostics of turbojet engines. Appl. Sci., 9.10.3390/app9112253 ↗
2. A Holistic End-to-End Prescriptive Maintenance Framework10.1007/s41688-020-00045-z ↗
3. CAX Software—The Next Level in Computer Aided Technology
4. Kyratsis, P., Kakoulis, K.G., and Markopoulos, A.P. (2020). Advances in CAD/CAM/CAE technologies. Machines, 8.10.3390/machines8010013 ↗
5. Esposito, M., Lazoi, M., Margarito, A., and Quarta, L. (2019). Innovating the Maintenance Repair and Overhaul Phase through Digitalization. Aerospace, 6.10.3390/aerospace6050053 ↗
6. A Study on the Die Shape Machining using CAD/CAE/CAM System
7. Fordal, J.M., Rødseth, H., and Schjølberg, P. (2019). Advanced Manufacturing and Automation VIII, Springer.
8. Giacotto, A., Costa Marques, H., Pereira Barreto, E.A., and Martinetti, A. (2021). The Need for Ecosystem 4.0 to Support Ma-intenance 4.0: An Aviation Assembly Line Case. Appl. Sci., 11.10.3390/app11083333 ↗
9. Current Status of Jet Engines and Their future10.54097/hset.v43i.7430 ↗
10. Determination and monitoring of strength properties of aircraft composite structures by magnetic microwires10.35116/aa.2019.0007 ↗
11. Sinha, A., Swain, B., Behera, A., Mallick, P., Samal, S., Vishwanatha, H.M., and Behera, A. (2022). A review on the processing of Aero-Turbine Blade using 3D print techniques. J. Manuf. Mater. Process., 6.10.3390/jmmp6010016 ↗
12. Főző, L., and Andoga, R. (2022). Advanced control of an electric Fuel-Oil pump for small turbojet engines. Aerospace, 9.10.3390/aerospace9100607 ↗
13. Istenes-Nemeth, R., Beneda, K., and Főző, L. (2022, January 2–5). Development of a Hardware Simulator for a Micro Turbojet Engine. Proceedings of the 2022 IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics (SAMI), Poprad, Slovakia.10.1109/SAMI54271.2022.9780762 ↗
14. Főző, L., Andoga, R., Schreiner, M., Beneda, K., Hovanec, M., and Korba, P. (2019, January 25–27). Simulation aspects of adaptive control design for small turbojet engines. Proceedings of the 2019 IEEE 23rd International Conference on Intelligent Engineering Systems (INES), Gödöllő, Hungary.10.1109/INES46365.2019.9109503 ↗
15. On Opportunities and Limitations of Additive Manufacturing Technology for Industry 4.0 Era10.1007/978-981-13-2375-1_15 ↗
16. Martinetti, A., Demichela, M., Singh, S., Soares, G.M., and Silva, J.C. (2020). Advances in Civil and Industrial Engineering, IGI Global.
17. 3D printing a jet engine: An undergraduate project to exploit additive manufacturing now and in the future10.1016/j.mtcomm.2018.03.006 ↗
18. Characteristics of Maintenance 4.0 and Their Reflection in Aircraft Engine MRO10.1007/978-3-030-57745-2_42 ↗
19. Predictive maintenance as an internet of things enabled business model: A taxonomy10.1007/s12525-020-00440-5 ↗
20. Ciampa, F., Mahmoodi, P., Pinto, F., and Meo, M. (2018). Recent advances in active infrared thermography for Non-Destructive testing of aerospace components. Sensors, 18.10.3390/s18020609 ↗
21. Ruiz, L., Torres, M., Gómez, A., Díaz, S., González, J.M., and Cavas, F. (2020). Detection and Classification of Aircraft Fixation Elements during Manufacturing Processes Using a Convolutional Neural Network. Appl. Sci., 10.10.3390/app10196856 ↗
22. Ziu, L. (2021). Handbook of Nondestructive Evaluation 4.0, Springer. [1st ed.].
23. Integrating Sensor Data and Machine Learning for Predictive Maintenance in Industry 4.0
24. Experimental study of the endwall heat transfer of a transonic nozzle guide vane with upstream jet purge cooling Part 1—Effect of density ratio10.1115/1.4052754 ↗
25. Singh, R. (2021). Handbook of Nondestructive Evaluation 4.0, Springer. [1st ed.].
26. Non-destructive evaluation of localised heat damage occurring in carbon composites using thermography and thermal diffusivity measurement10.1016/j.measurement.2018.09.040 ↗
27. Recent Industrial Applications of Infrared Thermography: A review10.1109/TII.2018.2884738 ↗
28. Induction infrared thermography and Thermal-Wave-Radar analysis for imaging inspection and diagnosis of blade composites10.1109/TII.2018.2834462 ↗
29. A New Data Processing Architecture for Multi-Scenario Applications in Aviation Manufacturing10.1109/ACCESS.2019.2925114 ↗
30. Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives10.1007/s11465-018-0499-5 ↗
31. Aigner, J., Meyer, H., Raddatz, F., and Wende, G. (2023, January 19–21). Digitalization of Repair Processes in Aviation: Process Mapping, Modelling and Analysis for Composite Structures. Proceedings of the Deutsche Gesellschaft für Luft- und Raumfahrt—Lilienthal-Oberth e.V., Stuttgart, Germany.
32. Readiness levels of Industry 4.0 technologies applied to aircraft manufacturing—A review, challenges and trends10.1007/s00170-022-08769-1 ↗