DOI: https://doi.org/10.15802/stp2020/203103

STATISTICAL PROCESSING OF BRAKE PADS WEAR PARAMETERS OF FREIGHT CARS

V. G. Ravlyuk, M. G. Ravliuk, I. K. Kirichenko

Abstract


Purpose. This study is aimed at the statistical processing of the geometric parameters of pad wear of the modernized brake systems of freight cars` bogies. Methodology. A statistical approach to the construction of the graphical dependence of the brake pad wear on the car run was applied based on the previously collected wear data at checkpoints, which is regulated by the requirements of routine preventive repair. In this sense, theoretical and operational studies concerning the reduction of the non-standard wear of the brake pads were performed according to the regression analysis method based on the experimental data of the experimental operation of the upgraded devices of the brake systems of freight car bogies. The palliative approach to solution of this task is substantiated. Findings. It has been established that in practice there are cases when the pads do not provide their regulated run, as a result of which they are replaced prematurely for reasons of wedge-shaped wear. From the point of view of the economy and safety of their use, it leads to a decrease in brake efficiency in triangular brake systems. Experimental and scientific studies have found that when performing freight transportations plan, up to 95% of the car brake pads at standard braking devices have harmful double friction wear. This requires pads replacement in the warranty inter-repair period. It is established that during the inspection in the conditions of operation of brake shoe wear phenomena for the upgraded bogie devices based on the regression analysis, the prediction of the residual life of the pads was performed, the result of which is their use for the whole inter-repair period of freight cars. Originality. For the first time, the model of brake pad wear for upgraded devices of the bogie brake systems, depending on the car run, is adapted to build the regression dependence. Based on the results of the full-scale experiment, processing of the collected data on the pads wear in the absence of a normal law of statistical distribution was performed. Correspondence check of experimental and theoretical calculations according to the measurements of the pads wear was evaluated by Kochran's test. A «palliative» approach is proposed for statistical analysis regarding the wear of pads in the operating conditions, allowing to predict the residual life of the brake pads for their use for the whole inter-repair period of freight wagons operation. Practical value. The results of the studies were tested on experimental rolling stock with upgraded devices for uniform wear of brake pads in the bogies. A patent for an invention was obtained, which is recommended for implementation during the design of new and modernization of the existing brake systems for freight car bogies.


Keywords


brake pad; wear; brake rigging; car; analysis; model; statistical studies; sampling

References


Bakardzhyiev, R. O., & Komarov, A. O. (2015). Preliminary assessment and data processing in regression anlysis. Collected Works of Kirovohrad National Technical University. Machinery in agricultural production, industry machine building, automation, 28, 255-260. (іn Ukrainian)

Vahonyvantazhni. Systema tekhnichnohoo bsluhovuvannia ta remontu zatekhnich nymstanom: STP 04 – 010:2018, № 519-Ts. (2018). Kyiv. (іn Ukrainian)

Grebennikova, I. V. (2015). Metody matematiches koyobra botkieksper imentalny khdannykh: uchebno-metodicheskoe posobie. Yekaterinburg: Uralski yuniversitet. (in Russian)

Zharov, A., & Makas, A. (2009). Methods of statistical processing results of brake distance measurement when evaluating efficiency of rolling stock brake systems. Vestnik VNIIZHT, 5, 29-33. (in Russian)

Instruktsiia z ekspluatatsi ihalmruk homohos kladun azaliznytsiakh Ukrainy: TsT-TsV-TsL-0015, No. 264-Ts. (2004). Kyiv. (іn Ukrainian)

Kamkina, L. V., Nadtochii, A. A., Hryshyn, A. M., & Stohnii, Yu. D. (2013). Osnovy naukovykh doslidzhen: navchalnyi posibnyk. Dnipropetrovsk: NMetAU. (іn Russian)

Karpychev, V. A., Nikitin, G. B., & Andreyev, P. A. (2013). Assessment and Control of Pressure Exerted by Brake Shoes on Wheels as Dependent on the Brake Beams Adjusted Position of the 18-100 Bogie. Vestnik VNIIZHT, 5, 43-47. (in Russian)

Koptovec, A. N. (2014). Identification of mine locomotive brake state in terms of structural uncertainty. Geo-Technical Mechanics, 119, 241-246. (in Russian)

Koropets, P. A., Chernikov, V. D., & Kostiukevych, A. I. (2010). Pro neriv nomirnyi znosruk homy khfryktsiinykh par. Visnik of the Volodymyr Dahl East Ukrainian national university, 5(147), 41-45. (іn Ukrainian)

Lovska, A. O. (2019). Features of the computer modeling of loading of container with elastic-related connections in the fittings in operating modes. Transport Systems and Technologies: Collection of scientific works of the State University of Infrastructure and Technologies, 33(2), 28-37. DOI: https://doi.org/10.32703/2617-9040-2019-33-2-3 (іn Ukrainian)

Ravlyuk, V. G., & Nechvoloda, S. I. (2017). UA Patent № 121889 Ukrainskyi instytut intelektual noivlasnosti (Ukrpatent)

Ravlyuk, V. G. (2019). Investigation of features of dual wear of pads in brake system of freight cars. Science and Transport Progress, 2(80), 111-126. DOI: https://doi.org/10.15802/stp2019/166114 (іn Ukrainian)

Shpachuk, V. P., Pushnia, V. O., Rubanenko, O. I., & Harbuz, A. O. (2016). Teoretychna mekhanika. Dynamika: Konspektlekcij. Kharkiv: KhNUMGhim. O. M. Beketova. (in Ukrainian)

Gorobchenko, O., & Tkachenko, V. (2019). Statistical analysis of locomotives traction motors performance. MATEC Web of Conferences, 287, 1-5. DOI: https://doi.org/10.1051/matecconf/201928704002 (in English)

Fomin, O., Lovska, A., Masliyev, V., Tsymbaliuk, A., & Burlutski, O. (2019). Determining strength indicators for the bearing structure of a covered wagon's body made from round pipes when transported by a railroad ferry. Eastern-European Journal of Enterprise Technologies, 1(7(97)), 33-40. DOI: https://doi.org/10.15587/1729-4061.2019.154282 (in English)

Leng, L., & Zhu, W. (2019). Compound Regression and Constrained Regression: Nonparametric Regression Frameworks for EIV Models. The American Statistician, 134, 1-13. DOI: https://doi.org/10.1080/00031305.2018.1556734 (in English)

Ravlyuk, V., Ravliuk, M., Hrebeniuk, V., & Bondarenko, V. (2019). Research of the calculation scheme for the brake lever transmission and construction of the load model for the brake pads of freight cars. IOP Conference Series: Materials Science and Engineering, 708, 1-8. DOI: https://doi.org/10.1088/1757-899X/708/1/012026 (in English)

Sharma, B. (2018). Processing of data and analysis. Biostatistics and Epidemiology International Journal, 1(1), 3-5. DOI: https://doi.org/10.30881/beij.00003 (in English)

Sarma, K. V. S., & Vardhan, R. V. (2018). Multivariate Statistics Made Simple. A Practical Approach. New York. DOI: https://doi.org/10.1201/9780429465185 (in English)

Thrane, C. (2019). Applied Regression Analysis. Doing, Interpreting and Reporting. London. DOI: https://doi.org/10.4324/9780429443756 (in English)

Vakkalagadda, M. R. K., Srivastava, D. K., Mishra, A., & Racherla, V. (2015). Performance analyses of brake blocks used by Indian Railways. Wear, 328-329, 64-76. DOI: https://doi.org/10.1016/j.wear.2015.01.044 (in English)

Vineesh, K. P., Vakkalagadda, M. R. K., Tripathi, A. K., Mishra, A., & Racherla, V. (2016). Non-uniformity in braking in coaching and freight stock in Indian Railways and associated causes. Engineering Failure Analysis, 59, 493-508.DOI: https://doi.org/10.1016/j.engfailanal.2015.11.023 (in English)

Zhang, Y., & Zhang, M. (2018) The application status of unit brakes on metro vehicles in China. IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE), 3(15), 17-23. DOI: https://doi.org/10.9790/1684-1503031723 (in English)


GOST Style Citations


  1. Бакарджиєв Р. О., Комаров А. О. Попередня оцінка і обробка даних при регресійному аналізі. Збірник наукових праць Кіровоградського національного технічного університету. Техніка в сільськогосподарському виробництві, галузеве машинобудування, автоматизація. 2015. № 28. С. 255−260.
  2. Вагони вантажні. Система технічного обслуговування та ремонту за технічним станом: СТП 04 – 010:2018 [Чинний від 2019-08-08 № 519-Ц]. Київ, 2018. 25 с.
  3. Гребенникова И. В. Методы математической обработки экспериментальных данных: учебно-метод. пособие. Екатеринбург : Уральский университет. 2015. 124 с.
  4. Жаров И. А., Макас А. А. Методы статистической обработки результатов измерения тормозных путей при оценке эффективности тормозных средств подвижного состава. Вестник ВНИИЖТ. 2009. № 5. С. 29–33.
  5. Інструкція з експлуатації гальм рухомого складу на залізницях України: ЦТ-ЦВ-ЦЛ-0015. [Чинний від 1997-10-28 № 264-Ц]. Київ : ТОВ НВП «Поліграфсервіс», 2004. 146 с.
  6. Камкіна Л. В., Надточій А. А., Гришин А. М., Стогній Ю. Д. Основи наукових досліджень: навчальний посібник (російською мовою). Дніпропетровськ : НМетАУ, 2013. 89 с.
  7. Карпычев В. А., Никитин Г. Б., Андреев П. А. К вопросу оценки и контроля тормозных нажатий колодок на колеса в зависимости от положений рычагов при регулировке рычажной передачи тележки 18-100. Вестник ВНИИЖТ. 2013. № 5. С. 43–47.
  8. Коптовец А. Н. Идентификация состояния тормоза шахтных локомотивов в условиях структурной неопределенности. Геотехническая механика. 2014. № 119. С. 241–246.
  9. Коропець П. А., Черніков В. Д., Костюкевич А. І. Про нерівномірний знос рухомих фрикційних пар. Вісник СНУ ім. Даля. 2010. № 5 (147). С. 41–45.
  10. Ловська А. О. Особливості комп’ютерного моделювання навантаженості контейнера з пружно-в’язкими зв’язками у фітингах при експлуатаційних режимах. Збірник наукових праць Державного університету інфраструктури та технологій : Серія «Транспортні системи і технології». 2019. Вип. 33. T. 2. C. 28–37. DOI: https://doi.org/10.32703/2617-9040-2019-33-2-3
  11. Підсилюючий пристрій до паралельного відведення колодок від коліс у гальмівній системі візків вантажних вагонів: пат. 121889 Україна: МПК51 В60Т 1/02 (2006.01), В61Н 15/00, В61Н 13/00; заявл. 24.04.17; опубл. 26.12.17, Бюл. № 24. 12 с.
  12. Равлюк В. Г. Дослідження особливостей дуального зносу колодок у гальмовій системі вантажних вагонів. Наука та прогрес транспорту. 2019. №. 2 (80). С. 111–126. DOI: https://doi.org/10.15802/stp2019/166114
  13. Шпачук В. П., Пушня В. О., Рубаненко О. І., Гарбуз А. О. Теоретична механіка. Динаміка : консп. лекцій. Харків : ХНУМГ ім. О. М. Бекетова, 2016. 222 с.
  14. Gorobchenko O., Tkachenko V. Statistical analysis of locomotiv estraction motors performance. MATEC Web of Conferences. 2019. Vol. 287. P. 1–5. DOI: https://doi.org/10.1051/matecconf/201928704002
  15. Fomin O., Lovska A., Masliyev V., Tsymbaliuk A., Burlutski O. Determining strength indicators for the bearing structure of a covered wagon's body made from roundpipeswhen transportedby a railroadferry. Eastern-European Journal of Enterprise Technologies. 2019. Vol. 1. Iss. 1 (97). P. 33–40.
    DOI: https://doi.org/10.15587/1729-4061.2019.154282
  16. Leng L., Zhu W. Compound Regressionand Constrained Regression: Nonparametri Regression Frameworksfor EIV Models. The American Statistician Journal. Vol. 134. P. 1–13. DOI: https://doi.org/10.1080/00031305.2018.1556734
  17. Ravlyuk V., Ravliuk M., Hrebeniuk V., Bondarenko V. Research of the calculation cheme for the brake lever transmission and construction of the load model for the brake pads of freight cars. IOP Conf. Series : Materials Science and Engineering. 2019. Vol. 708. P. 1–8. DOI: https://doi.org/10.1088/1757-899X/708/1/012026
  18. Sharma B. Processing of data and analysis. Biostatistics and Epidemiology International Journal. 2018. Vol. 1. Iss. 1. P. 3–5. DOI: https://doi.org/10.30881/beij.00003
  19. Sarma K. V. S., Vardhan R. V. Vishnu. Multivariate Statistics Made Simple. A Practical Approach. New York, 2018. 258 p. DOI: https://doi.org/10.1201/9780429465185
  20. Thrane C. Applied Regression Analysis. Doing, Interpreting and Reporting. London, 2019. 202 p. DOI: https://doi.org/10.4324/9780429443756
  21. Vakkalagadda M. R. K., Srivastava D. K., Mishra A., Racherla V. Performance analyses of brake blocks used by Indian Railways. Wear. 2015. Vol. 328–329. P. 64–76. DOI: https://doi.org/10.1016/j.wear.2015.01.044
  22. Vineesh K. P., Vakkalagadda M. R. K., Tripathi A. K., Mishra A., Racherla V. Non-uniformity in braking in coaching and freight stock in Indian Railways and associated causes. Engineering Failure Analysis. 2016. Vol. 59. P. 493–508. DOI: https://doi.org/10.1016/j.engfailanal.2015.11.023
  23. Zhang Y., Zhang M. The application status of unit brakes on metro vehicles in China. IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE). 2018. Vol. 3 (15). P. 17–23. DOI: https://doi.org/10.9790/1684-1503031723




Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

 

ISSN 2307–3489 (Print)
ІSSN 2307–6666 (Online)