Consideration of Temperature Factors when Designing Butterfly Check Valves for Hazardous Production Facilities

Julia Soboleva, Abdulmejid Kerimov, Abas Lampezhev


The safety of hazardous production facilities is directly related to the reliability of pipeline systems, which must be ensured regardless of environmental conditions. Accidents on pipeline sections can have catastrophic consequences associated with damage to human health and the environment. Damage to the metal of pipeline elements during operation due to internal corrosion occurring under the influence of the working fluid is one of the main reasons for failure. This study aims to develop an improved butterfly check valve (BCV), which is a pipeline element. For this purpose, various structural materials used in the production of check valves were analyzed, and the changes in their mechanical properties under the influence of temperature were also considered. Based on this material, a butterfly check valve was developed. The stress-strain state of the developed structure was assessed using the finite element method (FEM). Strains, stresses, and displacements were calculated to evaluate valve performance. These calculations are necessary to determine the most loaded elements of the BCV at the maximum and minimum ambient temperatures. The following conclusions were obtained: X6CrNiTi18-10 stainless steel grade is the most suitable material for piping systems transporting liquids in production facilities. On the basis of the simulation results, the values of equivalent stresses, maximum strains, and displacements were obtained. The research results confirmed the performance of the improved design, the unhindered motion of the working fluid in the working direction, and the convenient connection to horizontal and vertical sections of the pipeline.


Doi: 10.28991/CEJ-SP2023-09-020

Full Text: PDF


Pipeline System; Shut-off Valves; Butterfly Check Valve; Mathematical Modeling; Finite Element Method.


Fang, J., Cheng, X., Gai, H., Lin, S., & Lou, H. (2023). Development of machine learning algorithms for predicting internal corrosion of crude oil and natural gas pipelines. Computers and Chemical Engineering, 177, 108358. doi:10.1016/j.compchemeng.2023.108358.

Zheng, Q., Xu, Q., Shu, Z., Yang, D., Chen, W., Akkurt, N., Zhang, H., Lin, L., Zhang, X., & Ding, Y. (2023). A review of advances in mechanical behaviors of the underground energy transmission pipeline network under loads. Gas Science and Engineering, 117, 205074. doi:10.1016/j.jgsce.2023.205074.

Liu, M., Du, C., Luo, X., Liu, C., Wu, Z., & Li, X. (2023). Failure analysis in buried ductile iron pipelines: A study of leakage in drinking water distribution systems. Engineering Failure Analysis, 151, 107361. doi:10.1016/j.engfailanal.2023.107361.

Zhang, M., Guo, Y., Xie, Q., Zhang, Y., Wang, D., & Chen, J. (2022). Defect identification for oil and gas pipeline safety based on autonomous deep learning network. Computer Communications, 195, 14–26. doi:10.1016/j.comcom.2022.08.001.

Nakhal Akel, A. J., Paltrinieri, N., & Patriarca, R. (2022). Business analytics to advance industrial safety management. Engineering Reliability and Risk Assessment, 201–214. doi:10.1016/B978-0-323-91943-2.00006-X.

Lu, H., Xi, D., & Qin, G. (2023). Environmental risk of oil pipeline accidents. Science of the Total Environment, 874, 162386. doi:10.1016/j.scitotenv.2023.162386.

Yang, Y., Li, S., & Zhang, P. (2022). Data-driven accident consequence assessment on urban gas pipeline network based on machine learning. Reliability Engineering and System Safety, 219, 108216. doi:10.1016/j.ress.2021.108216.

Ramírez-Camacho, J. G., Carbone, F., Pastor, E., Bubbico, R., & Casal, J. (2017). Assessing the consequences of pipeline accidents to support land-use planning. Safety Science, 97, 34–42. doi:10.1016/j.ssci.2016.01.021.

Zhang, W., Zhang, J. L., Li, X. J., Chen, F., Guo, J., Li, W., & Cai, J. (2022). Energy pipeline strength evaluation and reliability technology based on Fuzzy deep learning network algorithm. Energy Reports, 8, 5129–5136. doi:10.1016/j.egyr.2022.03.203.

Alexandrov, I. A., Muranov, A. N., & Mikhailov, M. S. (2021). Development of an Algorithm for Automated Evaluation of the Operability of Structural Elements of Shut-off Valves. 2021 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT & QM & IS), IEEE, Yaroslavl, Russian Federation. doi:10.1109/itqmis53292.2021.9642718.

Tatarkanov, A. A., Alexandrov, I. A., Mikhailov, M. S., & Muranov, A. N. (2021). Algorithmic Approach to the Assessment Automation of the Pipeline Shut-Off Valves Tightness. International Journal of Engineering Trends and Technology, 69(12), 147–162. doi:10.14445/22315381/IJETT-V69I12P218.

Mikhailov, M. S., Tatarkanov, A. A., Glashev, R. M., & Ivanov, N. Z. (2019). Actual Problems of Product Serviceability Assessment Based on the Analysis of Research Results Obtained Through X-Ray Computed Tomography Method. 2019 International Conference “Quality Management, Transport and Information Security, Information Technologies” (IT & QM & IS), Sochi, Russia. doi:10.1109/itqmis.2019.8928316.

Han, P., Hua, H., Wang, H., & Shang, J. (2023). A graphic partition method based on nodes learning for energy pipelines network simulation. Energy, 282, 128179. doi:10.1016/

Towler, G., & Sinnott, R. (2022). Transport and storage of fluids. Chemical Engineering Design, 953–1001, Butterworth-Heinemann, Oxford, United Kingdom. doi:10.1016/b978-0-12-821179-3.00020-0.

Liu, T., Cheng, Y. F., Sharma, M., & Voordouw, G. (2017). Effect of fluid flow on biofilm formation and microbiologically influenced corrosion of pipelines in oilfield produced water. Journal of Petroleum Science and Engineering, 156, 451–459. doi:10.1016/j.petrol.2017.06.026.

Song, X., Yang, Y., Yu, D., Lan, G., Wang, Z., & Mou, X. (2016). Studies on the impact of fluid flow on the microbial corrosion behavior of product oil pipelines. Journal of Petroleum Science and Engineering, 146, 803–812. doi:10.1016/j.petrol.2016.07.035.

Calderón-Hernández, J. W., Sinatora, A., de Melo, H. G., Chaves, A. P., Mano, E. S., Leal Filho, L. S., Paiva, J. L., Braga, A. S., & Souza Pinto, T. C. (2020). Hydraulic convey of iron ore slurry: Pipeline wear and ore particle degradation in function of pumping time. Wear, 450–451, 203272. doi:10.1016/j.wear.2020.203272.

Brandt, M. J., Johnson, K. M., Elphinston, A. J., & Ratnayaka, D. D. (2017). Valves and Meters. Twort’s Water Supply, 743–775. doi:10.1016/b978-0-08-100025-0.00018-1.

Zheng, S., Luo, M., Xu, K., Li, X., Bie, Q., Liu, Y., Yang, H., & Liu, Z. (2019). Case study: Erosion of an axial flow regulating valve in a solid-gas pipe flow. Wear, 434–435, 202952. doi:10.1016/j.wear.2019.202952.

Chinyaev, I. R., Fominykh, A. V., & Ilinykh, E. A. (2016). The Valve is a Shutoff for the Passive Protection Systems of Pipelines. Procedia Engineering, 150, 220–224. doi:10.1016/j.proeng.2016.06.750.

Sotoodeh, K. (2021). Butterfly valve applications and design. In A Practical Guide to Piping and Valves for the Oil and Gas Industry, 147–241. doi:10.1016/b978-0-12-823796-0.00017-9.

Sotoodeh, K. (2021). Valve technology and selection. A Practical Guide to Piping and Valves for the Oil and Gas Industry, 559–584, Gulf Professional Publishing, Houston, United States. doi:10.1016/b978-0-12-823796-0.00021-0.

Collison, R. S., Engle, C. M., & Hodny, C. R. (2015). U.S. Patent No. 9,206,909. U.S. Patent and Trademark Office, Washington, United States.

Bazarov, A. A., Bondareva, N. V., & Navasardyan, A. A. (2022). Heating System for Rigid Wedge Valves. In Proceedings of the 7th International Conference on Industrial Engineering (ICIE 2021) Volume 1(7), 21-31. doi:10.1007/978-3-030-54817-9_149.

Ghelloudj, O., Zelmati, D., Ramoul, C. E., Gharbi, A., Ayad, A., Aoun, I. D., Saadi, A., & Bachiri, A. (2023). Reliability assessment of pipeline steel under corrosion defect. Materials Today: Proceedings, 1-6. doi:10.1016/j.matpr.2023.05.212.

Li, X., Wang, J., Abbassi, R., & Chen, G. (2022). A risk assessment framework considering uncertainty for corrosion-induced natural gas pipeline accidents. Journal of Loss Prevention in the Process Industries, 75, 104718. doi:10.1016/j.jlp.2021.104718.

Vishnuvardhan, S., Murthy, A. R., & Choudhary, A. (2023). A review on pipeline failures, defects in pipelines and their assessment and fatigue life prediction methods. International Journal of Pressure Vessels and Piping, 201, 104853. doi:10.1016/j.ijpvp.2022.104853.

BS EN 10250-2:2000. (2000). Open die steel forgings for general engineering purposes -Part 2: Non-alloy quality and special Steels. British Standard Institute (BSI), London, United Kingdom.

Full Text: PDF

DOI: 10.28991/CEJ-SP2023-09-020


  • There are currently no refbacks.

Copyright (c) 2022 Julia Soboleva, Abdulmejid Kerimov, Abas Lampezhev

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