|
|
|
|
|
|
| In Situ Quantitative Analysis of Elements in X80 Pipeline Steel Welds |
| HAN Mei1, 2, 3, JIA Yun-hai1*, DAI Lian-shuang4, HU Jing-yu1, ZHAO Lei1, ZHANG Xi5*, WEI Chen2, 3, WANG Hai-zhou1 |
1. Central Iron & Steel Research Institute, Beijing Advanced Innovation Center for Materials Genome Engineering, Central Iron and Steel Research Institute, Beijing 100081, China
2. Tianjin Special Equipment Inspection Institute Material Quality Inspection Center, Tianjin 300350, China
3. National Inspection Center for Special Equipment Welding Consumables Quality, Tianjin 300350, China
4. China Oil & Gas Pipeline Network Corporation Production Department, Beijing 100013, China
5. School of Meachanical Engineering, Tianjin University of Technology and Education, Tianjin 300222, China
|
|
|
|
|
Abstract X80 high-grade pipeline steel is the main material used in long-distance oil and gas transmission pipelines. During the application process, it was found that there was a significant difference in the toughness of the weld metal after welding steel plates from different manufacturers, which seriously affected the safety of oil and gas storage and transportation. There was an urgent need for a fast and accurate in-situ quantitative analysis method for the distribution of elements along the thickness direction of the weld seam to help explore the mechanism of the joint effect of X80 pipeline steel base material and welding material on the toughness of the weld metal. Therefore, this article proposed a method for in-situ quantitative analysis of Mn, Ni, Cr, Al, and Nb in weld using LA-ICP-MS. By optimizing the laser pulse frequency to 20Hz, laser energy to 100% (laser output mode Image Aperture), etching aperture to 100μm, and defocus distance 0μm, the strength and the stability of mass spectrometry signals were enhanced. The experiment was calibrated using standard samples matched with the matrix, and the matrix element57Fe was used as the internal standard for correction. By analyzing related mass spectrometry interferences, isotopes27Al, 53Cr, 55Mn, 60Ni, and 93Nb were selected. The established LA-ICP-MS micro zone in-situ quantitative analysis method was applied to analyze the distribution of element content in two X80 pipeline steel welds with the same welding material but different base material compositions. The correlation coefficient of this method ranged from 0.992 7 to 0.999 6, with a quantification limit of 0.23~2.57 μg·g-1. The results showed that Mn, Cr, Al, and Nb with similar contents in the two base metals exhibited similar dilution at the root of the weld. In comparison, Ni elements with significant differences in content between the two base metals showed significant differences in content within 8.4 mm from the root of the weld. The impact test results showed that the toughness of weld with high Ni element content in the base material is relatively significantly higher. SEM analysis of weld root showed that the increase of Ni element content was conducive to forming lath bainite structure. Therefore, it is considered that the dilution of base metal to Ni in the root weld metal can be reduced by adding 0.14% Ni to X80 pipeline steel. The weld impact toughness can be improved by higher Ni content by promoting the low-temperature lath bainite transformation. The established LA-ICP-MS in-situ quantitative analysis method is of reference significance for ensuring the safe operation of the X80 long-distance pipeline.
|
|
Received: 2023-12-05
Accepted: 2024-04-09
|
|
|
|
Corresponding Authors:
JIA Yun-hai, ZHANG Xi
E-mail: jiayunhai@ncschina.com; zhangxi1999@163.com
|
|
[1] FENG Yao-rong, JI Ling-kang, LI Wei-wei, et al(冯耀荣, 吉玲康, 李为卫, 等). Oil & Gas Storage and Transportation(油气储运), 2020, 6: 612.
[2] ZHANG He-song, ZHENG Jian, MA Ben-te, et al(张鹤松, 郑 健, 马本特, 等). Welded Pipe and Tube(焊管), 2022, 45(2): 1.
[3] ZHANG Xia-zhou, CHEN Yan-qing, MOU Shu-kun, et al(张侠洲，陈延清，牟淑坤，等). Welding Technology(焊接技术), 2019, 48(10): 6.
[4] Li M M, Ji H C, Wu C D, et al. Metalurgija, 2023, 62(2): 230.
[5] Qiang Bin, Wang Xin. Engineering Fracture Mechanics, 2019, 213: 264.
[6] Pisonero J, Traub H, Cappella B, et al. Talanta, 2021, 227: 122162.
[7] Duan Lijun, Zhang Liangliang, Zhu Dicheng, et al. Journal of Analytical Atomic Spectrometry, 2023, 38(7): 1478.
[8] Gao X, Pan H J, Han Y C, et al. Analytica Chimica Acta, 2021, 1148: 238197.
[9] Rovella N, Aly N, Comite V, et al. Science of the Total Environment, 2021, 764: 142905.
[10] Andrade D F, De Almeida E, De Carvalho H W P, et al. Talanta, 2021, 225: 122025.
[11] Zhu J, Zhang Z C, Santosh M, et al. Gondwana Research, 2021, 92: 228.
[12] Ewelina A Mis＇ta-Jakubowska, Izabela Fijał-Kirejczyk, Ryszard Diduszko, et al. Archaeological and Anthropological Sciences, 2019, 11: 3343.
[13] Andrade D F, De Almeida E, De Carvalho H W P, et al. Talanta, 2021, 225: 122025.
[14] GONG Ge-lian, YOU Li-bing, LI Cong-ying, et al(龚革联, 游利兵, 李聪颖, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2022, 42(2): 555.
[15] YUAN Liang-jing, YU Lei, HAN Mei, et al(袁良经, 于 雷, 韩 美, 等). Metallurgical Analysis(冶金分析), 2010, 30(6): 1.
[16] HAN Mei, HU Jing-yu, WANG Ming-hai, et al(韩 美, 胡净宇, 王明海, 等). Metallurgical Analysis(冶金分析), 2011, 31(8): 1.
[17] HAN Mei, ZHANG Xi, HU Jing-yu(韩 美, 张 熹, 胡净宇). Metallurgical Analysis(冶金分析), 2018, 38(3): 1.
[18] Ido K, Obayashi H, Zhu Y, et al. Analytical Sciences, 2018，34(6): 693.
[19] LIU Yong-sheng, HU Zhao-chu, LI Ming, et al(刘勇胜，胡兆初，李 明，等). Chinese Science Bulletin(科学通报), 2013, 58(36): 3753.
[20] LUO Qian-hua, CHEN Yu-hong, WANG Hai-zhou(罗倩华, 陈玉红, 王海舟). Metallurgical Analysis(冶金分析), 2013, 33(9): 1.
|
| [1] |
SHEN Xue-jing1, 2, GUO Fei-fei2, XU Peng2, CUI Fei-peng2, LI Xiao-peng2, LIU Jia1, 2. Original Position Statistic Distribution Analysis （OPA） and Characterization of Components in Titanium Alloy Welding Sample by Laser Induced Breakdown Spectroscopy （LIBS）[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(12): 3869-3875. |
| [2] |
YANG Chun1, 2, ZHANG Yong1, JIA Yun-hai1*, WANG Hai-zhou1 . Element Distribution Analysis of Welded Fusion Zone by Laser-Induced Breakdown Spectroscopy [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(04): 1089-1094. |
|
|
|
|
