Innovative acoustic emission method for monitoring the quality and integrity of ferritic steel gas pipelines
Author:
Świt Grzegorz1ORCID, Ulewicz Małgorzata2ORCID, Pała Robert3ORCID, Adamczak-Bugno Anna1ORCID, Lipiec Sebastian3ORCID, Krampikowska Aleksandra1ORCID, Dzioba Ihor3ORCID
Affiliation:
1. Faculty of Civil Engineering and Architecture , Kielce University of Technology , Av. 1000-an. of Polish State 7 , Kielce , Poland 2. Faculty of Civil Engineering , Czestochowa University of Technology , 69 Dabrowskiego street , Czestochowa 3. Faculty of Mechatronics and Mechanical Engineering , Kielce University of Technology , Av. 1000-an. of Polish State 7 , Kielce
Abstract
Abstract
This article presents a comprehensive improvement in the experimental analysis of cracking processes in smooth and sharp V-notched samples taken from gas transport pipelines, utilizing the acoustic emission (AE) method. The research aimed to establish a robust correlation between the failure mechanisms of uni-axially tensile samples and the distinct characteristics of AE signals for enhanced quality management in pipeline integrity. The study encompassed materials from two different straight pipe sections, encompassing both long-term used materials and new, unused materials. Through the application of the k-means grouping method to AE signal analysis, we achieved the identification of AE signal parameters characteristic of various stages of the material destruction process. This advancement introduces a significant improvement in monitoring and managing the operational safety of pipeline networks, offering a methodology that leverages advanced acoustic emission signal analysis. The outcomes present significant implications for the pipeline industry by proposing methods to enhance safety systems and more effectively manage the integrity and quality of gas infrastructure.
Publisher
Stowarzyszenie Menedzerow Jakosci i Produkcji
Reference26 articles.
1. Aljaroudi, A., Khan, F., Akinturk, A., Haddara, M., Thodi, P., 2015. Risk assessment of offshore crude oil pipeline failure. Journal of Loss Prevention in the Process Industries, 37, 101–109. DOI: 10.1016/j.jlp.2015.07.004 2. Alzyod, H., Ficzere, P., 2023. Correlation Between Printing Parameters and Residual Stress in Additive Manufacturing: A Numerical Simulation Approach. Production Engineering Archives, 29, 279–287. 3. Amyotte, P.R., Berger, S., Edwards, D.W., Gupta, J.P., Hendershot, D.C., Khan, F.I., Mannan, M.S., Willey, R.J., 2016. Why major accidents are still occurring. Current Opinion in Chemical Engineering. Biotechnology and bioprocess engineering / Process systems engineering, 14, 1–8. DOI: 10.1016/j.coche.2016.07.003 4. ASTM E8 / E8M-16ae1, 2016. ASTM E8 / E8M-16ae1, Standard Test Methods for Tension Testing of Metallic Materials. ASTM International, West Conshohocken. 5. Avelino, Á.M., de Paiva, J.Á., da Silva, R.E.F., de Araujo, G.J.M., de Azevedo, F.M., de O. Quintaes, F., Maitelli, A.L., Neto, A.D.D., Salazar, A.O., 2009. Real time leak detection system applied to oil pipelines using sonic technology and neural networks, in: 2009 35th Annual Conference of IEEE Industrial Electronics. Presented at the 2009 35th Annual Conference of IEEE Industrial Electronics, pp. 2109–2114. DOI: 10.1109/IECON.2009.5415324
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