Wireless-based information model of the common operation of the elements of the aviation gas turbine engine
Abstract
The paper is focused on ensuring an automatic reliable operation of aviation engine in a wide range of modes using wireless data transmission. This also helps to reduce the weight of it’s control system, the mass and dimensions of the modular construction of the engine. It is possible only on the basis of complex study of the transition processes of the aviation engine with the mutual influence of the course, from the theoretical point of view. Firstly, it is necessary to define method for start up as the process of engine transition from a state of rest in ground conditions or autorotation mode in flight to minimum stable operation mode. Then, in process start up for the initial spin up of the engine rotor, fuel supply and ignition a special starting system based on the Wireless Distributed Automatic Control System must be used in the combustion chamber. In practical application, this study can be used to create the new generation of aviation gas turbine engines and their control systems for subsonic and supersonic aircraft, identification their models based on the diagnosing the state of the engine according to dynamic ones parameters.
Keyword : aviation engine, operating modes, transition processes, wireless elements, automatic, isothermal, data transmission
How to Cite
Tovkach, S. (2024). Wireless-based information model of the common operation of the elements of the aviation gas turbine engine. Aviation, 28(3), 141–147. https://doi.org/10.3846/aviation.2024.22143
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Yepifanov, S., & Bondarenko, O. (2023). Formation of dynamic models of gas turbine engines for use in automatic control and diagnostic systems. Aerospace Technic and Technology, 4(2023), 50–61. https://doi.org/10.32620/aktt.2023.4.06
Choo, K. H. (2019). A methodology for the prediction of non-volatile particulate matter from aircraft gas turbine engine [PhD Thesis, Georgia Institute of Technology]. Georgia Tech Library.
Eriksen Hammer, S., Daae, H. L., Kåsin, K., Helmersmo, K., Simensen, V., Skaugset, N. P., Hassel, E., & Zardin, E. (2023). Chemical characterization of combustion engine exhaust and assessment of helicopter deck operator occupational exposures on an offshore frigate class ship. Journal of Occupational and Environmental Hygiene, 20(3–4), 1–20. https://doi.org/10.1080/15459624.2023.2180150
EUROCAE. (2024). Standarts for future aviation. https://www.eurocae.net
Garcia-Oliver, J. M., Garcia, J. G., Martinez Corzo, B., Navarro Laboulais, & Leyland, P. (2023). Development of a reactor network model to predict pollutant emissions from aviation gas turbines. In Proceedings of the XV Ibero-American Congress of Mechanical Engineering (IACME 2022) (pp. 6–28). Springer. https://doi.org/10.1007/978-3-031-38563-6_28
Ghojel, J. (2020). Off-design performance of gas turbines. In Fundamentals of heat engines. Wiley. https://doi.org/10.1002/9781119548829.ch15
Guo, F., Li, Ch., Liu, H., Cheng, K., & Qin, J. (2022). Matching and performance analysis of a solid oxide fuel cell turbine-less hybrid electric propulsion system on aircraft. Energy, 263(6), Article 125655. https://doi.org/10.1016/j.energy.2022.125655
Gutakovskis, V., & Gudakovskis, V. (2021). Performance assessment of the thermodynamic cycle in a multi-mode gas turbine engine. In Gasification. IntechOpen. https://doi.org/10.5772/intechopen.97458
Karpenko, M., Stosiak, M., Deptuła, A., Urbanowicz, K., Nugaras, J., Królczyk, G., & Żak, K. (2023). Performance evaluation of extruded polystyrene foam for aerospace engineering applications using frequency analysis. The International Journal of Advanced Manufacturing Technology, 126(11–12), 5515–5526. https://doi.org/10.1007/s00170-023-11503-0
Lee, Y. H., & So, M. O. (2015). Speed control of marine gas turbine engine using nonlinear PID controller. Journal of Navigation and Port Research, 39(6), 457–463. https://doi.org/10.5394/KINPR.2015.39.6.457
Litrico, G., Shrivastava, S., Meeks, E., Nakod, P., Xu, F., Dhanua, T., & Muthuraj, S. (2022). Numerical study of high-altitude relight for an aviation gas-turbine engine. In ASME TurboExpo, Turbomachinery Technical Conference and Exposition (Article 82951). ASME Digital Collection. https://doi.org/10.1115/GT2022-82951
Mane, Sh. (2023). Advancements in gas turbine engine technology: A conceptual aspect. International Journal of Enhanced Research in Science, Technology & Engineering, 12(7), 1–5.
Markowski, J., Kazimierczak, M., Benedict, P., & Olejniczak, D. (2017). Exhaust gas emissions evaluation in the flight of multirole fighter equipped with a F100-PW-229 turbine engine. MATEC Web of Conferences, 118, Article 00018. https://doi.org/10.1051/matecconf/201711800018
Mathiyalaan, S. P., & Khot, M. (2023). Computational modeling of hydrogen and hydrogen-methane fuel combustors for gas turbine engine applications. In ASME Turbo Expo, Turbomachinery Technical Conference and Exposition (Article 104021). ASME Digital Collection.
Meguid, S. A. (2024). Multiple blade shedding in aviation gas turbine engines: FE modelling and Characterization. International Journal of Mechanics and Materials Design, 20, 663–670. https://doi.org/10.1007/s10999-023-09696-z
Novakovic, N. (2023). Mathematical modeling and analysis of the turbojet engine dynamic parameters based on ground test mode of operation (SAE technical Paper 2023-01-0977). SAE International. https://doi.org/10.4271/2023-01-0977
Patel, S., & Wu, D. (2022). Development of an experimental combustion for hybrid electric gas turbines. In Conference GPPS Chania. ResearchGate.
Patwardhan, S., Nakod, P., Orsino, S., Yadav, R., Xu, F., & Verma, V. (2021). Prediction of CO emission index for aviation gas turbine combustor using Flamelet generated manifold combustion model. In ASME Turbo Expo, Turbomachinery Technical Conference and Exposition (Article 59538). ASME Digital Collection. https://doi.org/10.1115/GT2021-59538
Pinelli, L., Giannini, G., Marconcini, M., Pacciani, R., Notaristefano, A., & Gaetani, P. (2023). The impact of the off-design conditions on the entropy wave interaction with a high-pressure turbine stage. In Conference Proceedings. Turbo Expo: Power for Land, Sea, and Air. ASME Digital Collection. https://doi.org/10.1115/GT2023-102837
Rozman, M., Berdanier, R. A., Barringer, M. D., & Thole, K. A. (2023). Strategies for high-accuracy measurements of stage efficiency for a cooled turbine. In Conference Proceedings. Turbo Expo: Power for Land, Sea, and Air. ASME Digital Collection. https://doi.org/10.1115/GT2023-100642
Schuchard, L., & Bien, M., Ziaja, K., Blanken, N., Göing, J., Friedrichs, J., di Mare, F., Ponick, B., & Mailach, R. (2023). A study on quantities driving maintenance, repair and overhaul for hybrid-electric aeroengines. In Proceedings of the ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition: Aircraft Engine (Vol. 1). ASME Digital Collection. https://doi.org/10.1115/GT2023-100915
Sun, L., Huang, Y., Liu, Z., Wang, Sh., & Guo, X. (2021). Investigation of effect of automatization performance on lean blowout limit for gas turbine combustors by comparison of utilizing aviation kerosene and methane as fuel. International Journal of Turbo and Jet Engines, 40(4), 493–502. https://doi.org/10.1515/tjj-2021-0040
Szczepankowski, A., & Szymczak, J., & Przysowa, R. (2017). The effect of a dusty environment upon performance and operating parameters of aircraft gas turbine engines. In Specialists Meeting “Impact of Volcanic Ash Clouds on Military Operations”. NATO AVT-272-RSM-047 (pp. 6-1–6-13). ResearchGate.
Tovkach, S. (2021). Wireless-based technology for optimizing of operation of the aviation engine control system. Aviation, 25(1), 35–40. https://doi.org/10.3846/aviation.2021.13828
Yepifanov, S., & Bondarenko, O. (2023). Formation of dynamic models of gas turbine engines for use in automatic control and diagnostic systems. Aerospace Technic and Technology, 4(2023), 50–61. https://doi.org/10.32620/aktt.2023.4.06