RESEARCH ARTICLE
Early Inspection of Weld Seams on Gas Pipelines Based on Metal Magnetic Memory Method
Kexi Liao, Lijia Long*, Huaixin Zhang
Southwest Petroleum University, Chengdu 610500, China
Article Information
Identifiers and Pagination:
Year: 2016Volume: 9
First Page: 1
Last Page: 9
Publisher Id: TOPEJ-9-1
DOI: 10.2174/1874834101609010001
Article History:
Received Date: 20/9/2014Revision Received Date: 11/04/2015
Acceptance Date: 30/07/2015
Electronic publication date: 09/02/2016
Collection year: 2016
© Liao et al.; Licensee Bentham Open.
open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
Abstract
In order to investigate the magnetic abnormality influenced by stress in weld seams, experiments on three types of weld seams were carried out and a stress concentration detection instrument - metal magnetic memory (MMM) tester was used. MMM tests on gas pipelines in Puguang initial station in China were conducted and compared MMM wave diagram and mathematical analysis of MMM data and the quantitative MMM characteristics of T weld, straight weld and girth weld. The experiment results showed that different weld seams have different MMM characteristics, types of defects can be identified based on magnetic anomaly signal waveform characteristics and quantitative MMM features which evaluate the pipeline defects quantitatively.
Keywords: Metal magnetic memory, stress concentration, weld seam.
