Experimental and Artificial Intelligence Supported Investigation of Corrosion Resistance of Rail Fasteners

Year 2025, Issue: 21, 83 - 95, 31.01.2025

Mustafa Dursunlar , Zakir Taş

https://doi.org/10.47072/demiryolu.1582533

Abstract

Global climate change on our planet has started to make its negative effects felt in recent years. This situation changes atmospheric conditions and poses a threat to engineering structures. For railways operated under severe climatic and atmospheric conditions, especially the mechanical properties of rail fasteners are insufficient. In this study, experimental artificial atmosphere salt spray corrosion tests of SKL14 tension clamp with 38Si7 chemical composition in HM type rail-traverse connection were carried out in accordance with EN ISO 9227 standard. In the test results, the first rust was observed in 0.5 hours and the complete rust was observed in 1 hour. Weight loss at the end of 1 hour was measured as 0.0137 g. The corrosion rate was calculated as 0.000749 mm/y (0.749 µm/y). With experimental corrosion data, predictive models were created with the help of artificial intelligence supported machine learning. As a result, the corrosion performance of uncoated tension clamps is explained both experimentally and with artificial intelligence support whether they are suitable for railway standards and use.

Keywords

Railway system, 38Si7, SKL, Tension clip, Corrosion, Artificial intelligence

Ray Bağlantı Elemanlarının Deneysel ve Yapay Zekâ Destekli Korozyon Direncinin İncelenmesi

Abstract

Gezegenimizdeki küresel iklim değişikliği son yıllarda olumsuz etkilerini iyice hissettirmeye başlamıştır. Bu durum atmosfer koşullarını değiştirmekte ve mühendislik yapıları için tehdit oluşturmaktadır. Ağır iklim ve atmosfer koşulları altında işletilen demiryolları için özellikle ray bağlantı elemanlarının mekanik özellikleri yetersiz kalmaktadır. Bu çalışmada HM tipi ray-travers bağlantısındaki 38Si7 kimyasal bileşime sahip SKL14 gergi kıskacının EN ISO 9227 standardında deneysel olarak yapay atmosferde tuz püskürtme korozyon testleri yapılmıştır. Test sonuçlarında ilk pas 0,5 saat ve tamamen pas 1 saatte gözlemlenmiştir. 1 saat sonundaki ağırlık kaybı 0,0137 g olarak ölçülmüştür. Korozyon hızı 0,000749 mm/yıl (0,749 µm/yıl) olarak hesaplanmıştır. Deneysel korozyon verileriyle yapay zekâ destekli makine öğrenmesi yardımıyla tahmin modelleri oluşturulmuştur. Sonuç olarak kaplamasız gergi kıskaçlarının korozyon performansının demiryolu standartları ve kullanımı için uygun olup olmadığı hem deneysel hem de yapay zekâ destekli olarak açıklanmıştır.

Keywords

Demiryolu, 38Si7, SKL, Gergi kıskacı, Korozyon, Yapay zekâ

Ethical Statement

Bu makalede bilimsel araştırma ve yayın etiğine uyulmuştur.

Thanks

Bu çalışma Mustafa DURSUNLAR’ın doktora tez çalışmalarından türetilmiş olup, malzeme temini ve testler için Gürmak Demiryolu’na teşekkür ederiz.

References

• [1] K. Ecer and O. Güner, “The European Union’s Policies and Role in Tackling Climate Change in the Context of the European Green Deal,” The Social Consequences of Climate Change, pp. 163–185, Nov. 2024, doi: 10.1108/978-1-83797-677-520241013
• [2] H. H. Sharaf-Addin, “Towards net-zero carbon emissions: A systematic review of carbon sustainability reporting based on GHG protocol framework,” Environmental and Sustainability Indicators, vol. 24, p. 100516, Dec. 2024, doi: 10.1016/J.INDIC.2024.100516
• [3] K. Feng, Z. Yang, Y. Zhuo, L. Jiao, B. Wang, and Z. Liu, “Impact of Carbon Tax on Renewable Energy Development and Environmental–Economic Synergies,” Energies 2024, Vol. 17, Page 5347, vol. 17, no. 21, p. 5347, Oct. 2024, doi: 10.3390/EN17215347
• [4] R. D. Piacentini and S. Garro, “Carbon neutral industries and compensation for greenhouse gas emissions,” Drying Technology, vol. 40, no. 16, pp. 3371–3372, Dec. 2022, doi: 10.1080/07373937.2022.2149181
• [5] M. Hakovirta, “Impetus for Carbon Neutrality–Frames of Reference,” Springer Climate, vol. Part F1826, pp. 11–29, 2023, doi: 10.1007/978-3-031-45202-4_2
• [6] Q. Zhang, C. W. Y. Wong, and R. Klassen, “Carbon neutrality: Operations management research opportunities,” Journal of Operations Management, vol. 70, no. 3, pp. 344–354, Apr. 2024, doi: 10.1002/JOOM.1303
• [7] Q. G. Rayer, “Ethical and Sustainable Investing and the Need for Carbon Neutrality,” Environmental Policy: An Economic Perspective, pp. 213–232, Sep. 2020, doi: 10.1002/9781119402619.CH13
• [8] B. Indraratna, R. S. Malisetty, C. Arachchige, Y. Qi, and C. Rujikiatkamjorn, “Sustainable Performance of Recycled Rubber and Mining Waste Utilized for Efficient Rail Infrastructure,” Indian Geotechnical Journal, vol. 54, no. 5, pp. 1738–1750, Oct. 2024, doi: 10.1007/S40098-024-00941-6/FIGURES/15
• [9] R. Damián Oostrom and C. Zamorano Martín, “Greenhouse Gas Emissions from High-Speed Rail Maintenance: A Comparative Case Study for Five Major High-Speed Lines,” 2024, doi: 10.2139/SSRN.4985657
• [10] Y. Wang, Y. Wang, and M. Xie, “Accelerating the penetration of clean electricity to promote the low carbonization of high-speed railways: A probabilistic framework,” Energy for Sustainable Development, vol. 83, p. 101582, Dec. 2024, doi: 10.1016/J.ESD.2024.101582
• [11] M. Braima, T. E. Butt, M. A. Maraqa, S. Goodhew, S. Sundaram, and M. M. A. Mohamed, “A perspective on solar railway potential for the UK,” Environ Prog Sustain Energy, 2024, doi: 10.1002/EP.14488
• [12] W. Peng, J. Zhang, X. Yang, Z. Zhu, and S. Liu, “Failure analysis on the collapse of leaf spring steels during cold-punching,” Eng Fail Anal, vol. 17, no. 4, pp. 971–978, Jun. 2010, doi: 10.1016/J.ENGFAILANAL.2009.11.008
• [13] C. Xu, Y. Liang, M. Yang, J. Yu, and X. Peng, “Effects of the Ultrasonic Assisted Surface Rolling Process on the Fatigue Crack Initiation Position Distribution and Fatigue Life of 51CrV4 Spring Steel,” Materials 2021, Vol. 14, Page 2565, vol. 14, no. 10, p. 2565, May 2021, doi: 10.3390/MA14102565
• [14] C. L. Zhang, L. Y. Zhou, and Y. Z. Liu, “Surface decarburization characteristics and relation between decarburized types and heating temperature of spring steel 60Si2MnA,” International Journal of Minerals, Metallurgy and Materials, vol. 20, no. 8, pp. 720–724, Aug. 2013, doi: 10.1007/S12613-013-0789-1/METRICS
• [15] Z. Li, H. Liu, W. Wang, and L. Xu, “The effect of fastener clip fatigue for high-speed railway on vehicle-track dynamic interaction: Numerical analysis and probabilistic evaluation,” Appl Math Model, vol. 135, pp. 269–305, Nov. 2024, doi: 10.1016/J.APM.2024.06.044
• [16] Y. Yuan et al., “Status, challenges, and prospects of energy efficiency improvement methods in steel production: A multi-perspective review,” Energy, vol. 304, p. 132047, Sep. 2024, doi: 10.1016/J.ENERGY.2024.132047
• [17] M. Dursunlar, Z. Taş, B. Akgül, O. Güler, and M. Çelebi, “Comparative analysis of wear properties between electroless Ni-B coating and commercial ZnAl coating on 38Si7 steel used in railway system,” Engineering Science and Technology, an International Journal, vol. 58, p. 101843, Oct. 2024, doi: 10.1016/J.JESTCH.2024.101843
• [18] S. Mohammadzadeh, S. Ahadi, and H. Keshavarzian, “Assessment of fracture reliability analysis of crack growth in spring clip type Vossloh SKL14,” http://dx.doi.org/10.1177/1748006X14527926, vol. 228, no. 5, pp. 460–468, Mar. 2014, doi: 10.1177/1748006X14527926
• [19] X. W. Wang et al., “Optimization of Heat Treatment for 38Si7 Spring Steel with Excellent Mechanical Properties and Controlled Decarburization,” Materials, vol. 15, no. 11, Jun. 2022, doi: 10.3390/ma15113763
• [20] J. Liu, B. Jiang, C. Zhang, G. Li, Y. Dai, and L. Chen, “Evolution during Hot Rolling and Control by Thermomechanical Control Process of Surface Decarburization on 38Si7 Spring Steel,” J Mater Eng Perform, vol. 31, no. 11, pp. 8677–8686, Nov. 2022, doi: 10.1007/S11665-022-06956-5/FIGURES/12
• [21] M. Dursunlar and Z. Taş, “Ray Bağlantı Elemanlarına Akımsız Ni-B Kaplama ve Isıl İşlem Uygulamaları,” Demiryolu Mühendisliği, no. 20, pp. 67–78, Jul. 2024, doi: 10.47072/demiryolu.1471045
• [22] N. Yirmibeş “54SiCr6-38Si7 Yay Çeliklerinin Yorulma Davranışına Uygulanan Isıl İşlemin Etkisinin İncelenmesi”, Yüksek Lisans Tezi, Karabük Üniversitesi Metalurji ve Malzeme Mühendisliği, 2024.
• [23] J. Liu, B. Jiang, C. Zhang, G. Li, Y. Dai, and L. Chen, “Evolution during Hot Rolling and Control by Thermomechanical Control Process of Surface Decarburization on 38Si7 Spring Steel,” J Mater Eng Perform, vol. 31, no. 11, pp. 8677–8686, Nov. 2022, doi: 10.1007/s11665-022-06956-5
• [24] Y. Zhang, X. Yang, and S. Liu, “Design and parameters influence analysis of dynamic vibration absorber for fastener clips in high-speed railway,” Journal of Vibration and Control, vol. 30, no. 3–4, pp. 472–486, Feb. 2023, doi: 10.1177/10775463231154144
• [25] N. Ali and M. A. Fulazzaky, “The empirical prediction of weight change and corrosion rate of low-carbon steel,” Heliyon, vol. 6, no. 9, Sep. 2020, doi: 10.1016/j.heliyon.2020.e05050
• [26] F. Malaret and X.-S. Yang, “Exact calculation of corrosion rates by the weight-loss method,” Exp Results, vol. 3, p. e13, May 2022, doi: 10.1017/EXP.2022.5
• [27] L. Du, J. Chen, E. Hu, and F. Zeng, “A reactive molecular dynamics simulation study on corrosion behaviors of carbon steel in salt spray,” Comput Mater Sci, vol. 203, p. 111142, Feb. 2022, doi: 10.1016/J.COMMATSCI.2021.111142
• [28] J. Hu, S. A. Cao, and J. Xie, “EIS study on the corrosion behavior of rusted carbon steel in 3% NaCl solution,” Anti-Corrosion Methods and Materials, vol. 60, no. 2, pp. 100–105, Mar. 2013, doi: 10.1108/00035591311308074/FULL/PDF
• [29] F. Jiang and M. Hirohata, “A GAN-Augmented Corrosion Prediction Model for Uncoated Steel Plates,” Applied Sciences 2022, Vol. 12, Page 4706, vol. 12, no. 9, p. 4706, May 2022, doi: 10.3390/APP12094706
• [30] D. J. McAdam, “Fatigue and Corrosion-Fatigue of Spring Material,” J Fluids Eng, vol. 51, no. 2, pp. 45–56, Jan. 1929, doi: 10.1115/1.4059013
• [31] M. Korkmaz, “A study over the general formula of regression sum of squares in multiple linear regression,” Numer Methods Partial Differ Equ, vol. 37, no. 1, pp. 406–421, Jan. 2021, doi: 10.1002/NUM.22533
• [32] G. Shen and Q. Liu, “Performance Analysis of Linear Regression Based on Python,” Communications in Computer and Information Science, vol. 1227 CCIS, pp. 695–702, 2020, doi: 10.1007/978-981-15-6113-9_80
• [33] “Regression Analysis with Python- Luca Massaron, Alberto Boschetti, 2016 - Google Books.” Accessed: Online, Nov. 03, 2024.
• [34] E. Ostertagová, “Modelling using Polynomial Regression,” Procedia Eng, vol. 48, pp. 500–506, Jan. 2012, doi: 10.1016/J.PROENG.2012.09.545
• [35] Y. Gong and P. Zhang, “Predictive Analysis and Research of Python Usage Rate Based on Polynomial Regression Model,” Proceedings - 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture, AIAM 2021, pp. 266–270, 2021, doi: 10.1109/AIAM54119.2021.00061
• [36] A.-H. A. Abdul-Hamied and A. D. Assi, “Evaluation of the Effect of Static and Flowing Conditions on the Corrosion Behavior of the Hull of Marine Ships,” Journal of Engineering, vol. 30, no. 11, pp. 90–107, Nov. 2024, doi: 10.31026/j.eng.2024.11.06
• [37] A. Nurdin, S. M. Muhammad, Z. I. Vega, T. Sulaiman, and H. Iskandar, “A Comparative Study on Corrosion Rate of Carbon Steel in NaCl Solution with Continuous and Discontinuous Weight Loss Methods,” Key Eng Mater, vol. 930, pp. 35–41, 2022, doi: 10.4028/P-DQ46YD
• [38] M. Karthikraja, K. Ramanathan, K. T. Loganathan, and S. Selvaraj, “Corrosion behaviour of SiC and Al2O3 reinforced Al 7075 hybrid aluminium matrix composites by weight loss and electrochemical methods,” Journal of the Indian Chemical Society, vol. 100, no. 5, p. 101002, May 2023, doi: 10.1016/J.JICS.2023.101002
• [39] Y. Liu, M. Liu, X. Lu, and Z. Wang, “Effect of temperature and ultraviolet radiation on corrosion behavior of carbon steel in high humidity tropical marine atmosphere,” Mater Chem Phys, vol. 277, p. 124962, Feb. 2022, doi: 10.1016/J.MATCHEMPHYS.2021.124962
• [40] V. Kumar, A. Pal, and O. Shpielberg, “Arrhenius law for interacting diffusive systems,” Phys Rev E, vol. 109, no. 3, p. L032101, Mar. 2024, doi: 10.1103/PHYSREVE.109.L032101/FIGURES/1/MEDIUM
• [41] L. Omomeji, M. K. Onifade, A. O. Onokwai, J. Atiba, E. Y. Salawu, and O. O. Joseph, “Inhibitory effect of expired glavox tablets on A36 carbon steel for optimized service life,” Mater Res Express, vol. 11, no. 11, p. 115507, Nov. 2024, doi: 10.1088/2053-1591/AD94D4
• [42] Y. Yue, N. Li, S. Gao, A. Li, and J. Sun, “Estimating corrosion induced thickness loss in Q690E high-strength steel using multimodal ultrasonic guided waves,” Ultrasonics, vol. 143, p. 107404, Sep. 2024, doi: 10.1016/J.ULTRAS.2024.107404
• [43] K. Asghar, S. Kim, M. Shabpiray, M. Faustine Ngulimi, B. Kyoung Seo, and C. Roh, “Corrosion effect of Carbon steel SA106 Gr. B in oxalic acid,” Mater Lett, vol. 370, p. 136842, Sep. 2024, doi: 10.1016/J.MATLET.2024.136842
• [44] M.-O. Danyliak, S. Lavrys, Y. Rizun, and S. Korniy, “Anticorrosion Protection of Low-Carbon Steel by the Eco-Friendly Composition Based on Gum Arabic,” Advances in Materials Science and Engineering, vol. 2024, no. 1, p. 5528033, Jan. 2024, doi: 10.1155/2024/5528033
• [45] P. S. Pai et al., “Microstructural, electrochemical and immersion based corrosion analysis in milling induced magnesium alloy AZ91,” Int. J. Corros. Scale Inhib, vol. 13, no. 4, pp. 2388–2399, 2024, doi: 10.17675/2305-6894-2024-13-4-27