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The wheel set of a rail vehicle with a disc brake is the basic assembly of a rail vehicle exposed to abrasive wear. From the operational point of view, the wear process of the wheels and brake discs is uneven, which for the carrier involves switching off the vehicle, once when the maximum wear of the discs is reached and again when the wheels wear out. The process of both untying the wheel set from the bogie, dismantling the wheels and discs from the axle is a time-consuming and expensive process, which consequently affects the exclusion of the vehicle from planned traffic. In the article on the basis of brake disc wear results, 3 concepts of bogie management were proposed. The first concerns the bogie rotation, the second and third concepts concern the exchange of bogies with and without rotation. Using the MUZ multi-criteria programming method, the concepts were evaluated and the best one was selected taking into account the evaluation criteria. The aim of the article is to present concepts that reduce the wear of discs brake systems in a multi-unit traction unit using bogie migration under the vehicle.
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Tom
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art. no. 2024314
Opis fizyczny
Bibliogr. 31 poz., rys., tab.
Twórcy
- Poznan University of Technology, Doctoral School of Poznan University of Technology. Poznań. Poland
autor
- Poznan University of Technology, Doctoral School of Poznan University of Technology. Poznań. Poland
autor
- Poznan University of Technology, Faculty of Civil and Transport Engineering, Institute of Transport, Poznań, Poland
Bibliografia
- 1. Ambroszko W, Dudziński W, Walczak S. Finite Element Method analysis application in identifying the causes of brake disc failure. Combustion Engines 2024;197(2):71-82.https://doi.org/10.19206/CE176212.
- 2. Boguś P, Bocian S. Shape deformation analizys of rail car brakes with image processing techniques, Book of Abstracts of European Mechanics Society EUROMECH 406 Colloquium - Image Processing Methods in Applied Mechanics 1999; 6-8: 47-49. https://iopscience.iop.org/article/10.1088/1757-899X/148/1/012038/pdf.
- 3. Brake monitor BWI 03 for disc brake axles. https://www.bpw.de/uploads/tx_szdownloadcenter/N EWSAllg03-10e.pdf.
- 4. Chrzan M, Ciszewski T, Nowakowski W. Selected aspects of the diagnostic process in rail transport. Rail Vehicles/Pojazdy Szynowe 2023; 3-4: 3-12. https://doi.org/10.53502/RAIL-175048.
- 5. Drożyner P, Brodecki A, Szymczak T. Stand testing of springs for drum break systems. Diagnostyka 2023; 24(4): 2023414. https://doi.org/10.29354/diag/177242.
- 6. Gajek A. Diagnostics monitor of the braking efficiency in the on board diagnostics system for the motor vehicles. IOP Conference Series: Materials Science and Engineering 2016; 148: 012038. https://iopscience.iop.org/article/10.1088/1757-899X/148/1/012038/pdf.
- 7. Gajek A. Proposed method of checking the braking efficiency coefficient for motor vehicles with hydraulic braking systems. The Archives of Automotive Engineering - Archiwum Motoryzacji. 2016; 73(3): 19-30. http://dx.doi.org/10.14669/AM.VOL73.ART2.
- 8. Ganeshan R, Darbha S. A diagnostic machine learning algorithm for air brakes in commercial vehicles. IFAC PapersOnLine 2024; 58-10: 75-80. https://doi.org/10.1016/j.ifacol.2024.07.321.
- 9. Helak M, Kadziński A. Changes in maintenance of railway vehicles as the sources of threats in the railway system. Scientific Journal of the Military University of Land Forces 2020; 1(195): 112-120. https://doi.org/10.5604/01.3001.0014.0267.
- 10. Hou Z, Lee CKM, Lv Y, Keung KL. Fault detection and diagnosis of air brake system: A systematic review. Journal of Manufacturing Systems 2023; 71: 34-58. https://doi.org/10.1016/j.jmsy.2023.08.005.
- 11. Jakubowski A, Kaluba M, Goliwąs D. Mechatronic controller of brake pipe pressure. Rail Vehicles/Pojazdy Szynowe 2023; 1-2: 8-13. https://doi.org/10.53502/RAIL-168490.
- 12. Jegadeeshwaran R, Sugumaran V. Fault diagnosis of automobile hydraulic brake system using statistical features and support vector machines. Mechanical Systems and Signal Processing 2015; 52-53: 436-446. https://doi.org/10.1016/j.ymssp.2014.08.007.
- 13. Jensen KM, Santos IF, Corstens HJP. Estimation of brake pad wear and remaining useful life from fused sensor system, statistical data processing, and passenger car longitudinal dynamics. Wear 2024; 538-539: 205220.
- 14. Jensen KM, Santos IF, Corstens HJP. Prediction of brake pad wear and remaining useful life considering varying vehicle mass and an experimental holistic approach. Wear 2024; 552-553: 205433. https://doi.org/10.1016/j.wear.2024.205433.
- 15. Kanis J, Zitrický V, Hebelka V, Lukáč P, Kubín M. Innovative diagnostics of the railway track superstructure. Transportation Research Procedia 2021; 53: 138-145. https://doi.org/10.1016/j.trpro.2021.02.017.
- 16. Komorski P, Kominowski J, Motyl M. A proposal for a mobile system of vehicle and rail track diagnostics. Transport Problems 2022; 17(2): 45-56. https://doi.org/10.20858/tp.2022.17.2.04.
- 17. Kukuła K, Bogocz D. Zero Unitarization method and its application in ranking research in agriculture. Economic and Regional Studies 2014; 7(3): 5-13.
- 18. Matej JL, Orliński P. Reducing wheel wear of a motorised metro car on a curved track with a small curve radius. Rail Vehicles/Pojazdy Szynowe 2023; 3- 4: 25-32. https://doi.org/10.53502/RAIL-175921.
- 19. Matusiak K, Goliwąs D, Kaluba M. Adsorption dryer for use in railways. Rail Vehicles/Pojazdy Szynowe 2022; 1-2: 77-85. https://doi.org/10.53502/RAIL-152486.
- 20. Marina E, Daimonc E, Boschettoa F, Rondinellaa A, Inadad K, Zhua W. Diagnostic spectroscopic tools for worn brake pad materials: A case study. Wear 2019; 432-433: 202969. https://doi.org/10.1016/j.wear.2019.202969.
- 21. Paś J, Białek K, Wetoszka P. Effects of independent magnetic fields in the very low frequency range elf generated by selected elements of an electric traction unit on the ambient environment and electronic systems. Journal of Automation, Electronics and Electrical Engineering 2022; 4(1): 29-35. https://doi.org/10.24136/jaeee.2022.004.
- 22. Roczek K, Krol A. Clutch-brake unit - principle of operation and basic diagnostic methods. Diagnostyka 2018;19(1):33-39. https://doi.org/10.29354/diag/80975.
- 23. Sawczuk W, Rilo Cañás AM, Kołodziejski S. Testing the wear of wheelsets of EN97 series vehicles in terms of geometrical parameters of the wheel profile in twoyear operation. Rail Vehicles/Pojazdy Szynowe 2023; 1-2: 38-45. https://doi.org/10.53502/RAIL-171570.
- 24. Sawczuk W, Ulbrich D, Kowalczyk J, MerkiszGuranowska A. Evaluation of Wear of Disc Brake Friction Linings and the Variability of the Friction Coefficient on the Basis of Vibroacoustic Signals. Sensors 2021; 21(17): 5927-1-5927-21. https://doi.org/10.3390/s21175927.
- 25. Sawczuk W, Merkisz-Guranowska A, Rilo Cañás AM. Assessment of disc brake vibration in rail vehicle operation on the basis of brake stand. Maintenance and Reliability 2021; 23(1): 221-230. https://doi.org/10.17531/ein.2021.2.2.
- 26. Segal L. Diagnostic method for vehicle brakes. NDT&E International 1999; 32: 369-373.
- 27. Setién J, González JJ, Polanco JA. Cracking diagnostics of brake pedals during press forming operations. Engineering Failure Analysis 2000; 7: 69-74.
- 28. Świderski A, Borucka A, Jacyna-Gołda I, Szczepański E. Wear of brake system components in various operating conditions of vehicle in the transport company. Maintenance and Reliability 2019; 21(1): 1-9. https://doi.org/10.17531/ein.2019.1.1.
- 29. You SH, Hahn JO, Cho YM, Kang S, Lee KII. A fault diagnostics algorithm for differential brake control system. Elsevier IFAC Publications. Tokyo, Japan 2003: 275-280.
- 30. Zadrąg R, Kniaziewicz T. Utilization of the zero unitarization method for the building of a ranking for diagnostic marine engine parameters. Combustion Engines 2017; 171(4): 44-50. https://doi.org/10.19206/ce-2017-408.
- 31. Zhang M, Li X, Xiang Z, Mo J, Xu S. Diagnosis of brake friction faults in high-speed trains based on 1DCNN and GraphSAGE under data imbalance. Measurement 2023; 207: 112378. https://doi.org/10.1016/j.measurement.2022.112378.
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Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-db24f96f-4113-411e-9cfc-4ab1345bbf8a