Corrosion Kinetics and the Relevance Analysis for X80 Steel in a Simulated Acidic Soil Solution and Outdoor Red Soil

doi:10.11902/1005.4537.2017.194

Journal of Chinese Society for Corrosion and protection

2019, Vol. 39

Issue (1): 18-28 DOI: 10.11902/1005.4537.2017.194

Current Issue | Archive | Adv Search

Corrosion Kinetics and the Relevance Analysis for X80 Steel in a Simulated Acidic Soil Solution and Outdoor Red Soil

Shuaixing WANG^1,²,Nan DU¹(

),Daoxin LIU²,Jinhua XIAO¹,Danping DENG¹

1. National Defense Key Disciplines Laboratory of Light Alloy Processing Science and Technology, Nanchang Hangkong University, Nanchang 330063, China
2. Institute of Corrosion and Protection, Northwestern Polytechnical University, Xi'an 710072, China

Download:

HTML

PDF(20303KB)
Export: BibTeX | EndNote (RIS)

Abstract

The evolution characteristics of corrosion-kinetics,-morphology and -products for X80 steel in a simulated acidic soil solution was acquired by means of weight loss measurement, SEM and XRD. Besides, the long-term corrosion-kinetics of X80 steel, which outdoor burried in real red soil at Nanchang district, was monitored in-situ by using a precise electrical resistance (ER) test system. The relevance between the simulated corrosion experiment and the outdoor soil exposure test were evaluated by using qualitative comparison and grey quantitative analysis. The results show that the corrosion weight loss of X80 steel in the simulated solution as a function of exposure time could be calculated using power function (△W=Atⁿ). For the outdoor exposure in red soil, the corrosion kinetics of X80 steel was similar to that of the simulated test. It had good relevance between the indoor corrosion experiment and the outdoor soil exposure test, regardless of the corrosion kinetics, corrosion morphology and the composition of corrosion products. The correlation degree in the corrosion kinetics for the two methods was about 0.6233. Besides, GM(1,1) corrosion kinetic data prediction model had been established basing on indoor immersing experiment. After verification, the relative error of GM(1,1) prediction model was less than 20%, which indicated that GM(1,1) model could be used to predict the outdoor soil exposure test result.

Key words: X80 steel corrosion dynamic acidic soil simulated solution outdoor red soil grey quantitative analysis

Received: 19 November 2017

ZTFLH:

TG179

Fund: National Natural Science Foundation of China(51161021)

Corresponding Authors: Nan DU E-mail: d_unan@sina.com

	Service

	E-mail this article
	Add to citation manager
	E-mail Alert
	RSS
	（）
	Articles by authors
	Shuaixing WANG
	Nan DU
	Daoxin LIU
	Jinhua XIAO
	Danping DENG

Cite this article:

Shuaixing WANG,Nan DU,Daoxin LIU,Jinhua XIAO,Danping DENG. Corrosion Kinetics and the Relevance Analysis for X80 Steel in a Simulated Acidic Soil Solution and Outdoor Red Soil. Journal of Chinese Society for Corrosion and protection, 2019, 39(1): 18-28.

URL:

https://www.jcscp.org/EN/10.11902/1005.4537.2017.194 OR https://www.jcscp.org/EN/Y2019/V39/I1/18

Fig.1 OM (a) and SEM (b) metallographs of X80 pipeline steel

Fig.2 Rod-like X80 steel sample used for electr-ical resistance (ER) testing

Fig.3 Mass loss of X80 steel immersed in acidic soil simu-lated solution (pH=4.0~4.5) for 64 d

Fig.4 3D surface morphologies of X80 steel after immersed in acidic soil simulated solution with pH=4.0~4.5 for 1 d (a), 4 d (b), 8 d (c), 16 d (d), 32 d (e) and 64 d (f)

Fig.5 Surface images of X80 steel after immersed in acidic soil simulated solution with pH=4.0~4.5 for 1 d (a), 4 d (b), 12 d (c) and 32 d (d)

Fig.6 XRD patterns of corrosion products of X80 steel after immersed in acidic soil simulated solution with pH=4.0~4.5 for different time

Fig.7 Variations of resistance (a) and corrosion rate (b) of rod-like X80 steel sample during exposure in Nanchang red soil for 12 months and 48 months, respectively

Fig.8 3D surface morphologies of X80 steel exposed in Nanchang red soil for 1 month (a), 3 months (b), 6 months (c), 12 months (d), 24 months (e) and 48 months (f)

Fig.9 Surface SEM images of X80 steel exposed in Nanchang red soil for 1 month (a), 3 months (b), 6 months (c) and 24 months (d)

Fig.10 XRD spectra of corrosion products of X80 steel expsed in Nanchang red soil for different time

Fig.11 Sectional morphology (a), Fe (b), O (c) compositions and XRD pattern (d) of corrosion product layer formed on X80 steel after exposure in Nanchang red soil for 4 a

Table 1 Comparison of dynamic data between indoor corrosion and outdoor corrosion

Raw data		Initialization data		$△ 0 i$	$ξ 01$ (p=0.5)	$γ 01$
$X 0 (k)$	$X 1 (k)$	$X' 0 (k)$	$X' 1 (k)$	$△ 0 i$	$ξ 01$ (p=0.5)	$γ 01$
0.0019	0.0022	1.000	1.000	0	1	$γ 01 = 0.6233$
0.0054	0.0053	2.842	2.409	0.433	0.9218
0.0305	0.0274	16.052	12.455	3.597	0.5634
0.0513	0.0540	27.000	24.545	2.455	0.6752
0.0673	0.0703	35.421	31.955	3.466	0.5956
0.1024	0.1076	53.894	48.909	4.985	0.5105
0.1282	0.1308	67.474	59.455	8.019	0.3862
0.1587	0.1613	83.526	73.318	10.208	0.3333

Table 2 Grey relational analysis results

Indoor corrosion data		Fitting data $X (0) ∧$	Verfication results	Outdoor corrosion data		Relative error
Time / d	Raw data $X (0)$	Fitting data $X (0) ∧$	Verfication results	Time / month	Actual data	Relative error
4	0.0053	0.0053	S₁=0.05048 S₂=0.0079 C=0.1565 P=1.0	3	0.0054	1.85%
8	0.0274	0.0358		6	0.0305	17.37%
12	0.0540	0.0491		9	0.0513	4.29%
16	0.0703	0.0664		12	0.0673	4.31%
32	0.1076	0.0902		24	0.1024	11.91%
48	0.1308	0.1223		36	0.1282	4.60%
64	0.1613	0.1658		48	0.1587	4.47%

Table 3 Comparisons of analysis results of GM(1,1) grey model and outdoor actual corrosion data

[1]	Niu J, Qi L H, Liu Y L, et al. Tempering microstructure and mechanical properties of pipeline steel X80 [J]. Trans. Nonferrous Met. Soc. China, 2009, 19 (Suppl.3): S573
[2]	Borovikov A V. Production of straight-seam large-diameter pipes made of steel of strength class X80 [J]. Metallurgist, 2003, 47: 415
[3]	Yan M C, Sun C, Dong J H, et al. Electrochemical investigation on steel corrosion in iron-rich clay [J]. Corros. Sci., 2015, 97: 62
[4]	Cole I S, Marney D. The science of pipe corrosion: A review of the literature on the corrosion of ferrous metals in soils [J]. Corros. Sci., 2012, 56: 5
[5]	Liu Z Y, Li X G, Cheng Y F. Understand the occurrence of pitting corrosion of pipeline carbon steel under cathodic polarization [J]. Electrochim. Acta, 2012, 60: 259
[6]	Liang P, Li X G, Du C W, et al. Stress corrosion cracking of X80 pipeline steel in simulated alkaline soil solution [J]. Mater. Des., 2009, 30: 1712
[7]	Yan M C, Sun C, Xu J, Ke W. Anoxic corrosion behavior of pipeline steel in acidic soils [J]. Ind. Eng. Chem. Res., 2014, 53: 17615
[8]	Yin G Q, Zhang L H, Chang S W, et al. A brief introduction of methods used in soil corrosion researches [J]. Corros. Sci. Prot. Technol., 2004, 16: 367
[8]	尹桂勤, 张莉华, 常守文等. 土壤腐蚀研究方法概述 [J]. 腐蚀科学与防护技术, 2004, 16: 367
[9]	Fitzgerald J H. Evaluating soil corrosivity-then and now [J]. Mater. Performance, 1993, 32: 17
[10]	Huang J Y, Qiu Y B, Guo X P. Analysis of electrochemical noise of X70 steel in Ku'erle soil by cluster analysis [J]. Mater. Corros., 2009, 60: 527
[11]	Huang J Y, Qiu Y B, Guo X P. Cluster analysis of electrochemical noise for X70 steel in Ku'erle soil [J].
[11]	Chin J.. Soc. Corros. Prot., 2009, 29: 453
[11]	黄家怿, 邱于兵, 郭兴蓬. 采用聚类分析研究X70钢在库尔勒土壤中初期电化学噪声特征 [J]. 中国腐蚀与防护学报, 2009, 29: 453
[12]	Yan M C, Sun C, Xu J, et al. Electrochemical behavior of API X80 steel in acidic soils from Southeast China [J]. Int.
[12]	J. Electrochem. Sci., 2015, 10: 1762
[13]	Barbalat M, Lanarde L, Caron D, et al. Electrochemical study of the corrosion rate of carbon steel in soil: Evolution with time and determination of residual corrosion rates under cathodic protection [J]. Corros. Sci., 2012, 55: 246
[14]	Li S Y, Jung S, Park K W, et al. Kinetic study on corrosion of steel in soil environments using electrical resistance sensor technique [J]. Mater. Chem. Phys., 2007, 103: 9
[15]	Wang S X, Liu D X, Du N, et al. Analysis of the long-term corrosion behavior of X80 pipeline steel in acidic red soil using electrical resistance test technique [J]. Adv. Mater. Sci. Eng., 2015, 2015: 931761
[16]	Valor A, Alfonso L, Caleyo F, et al. The negative binomial distribution as a model for external corrosion defect counts in buried pipelines [J]. Corros. Sci., 2015, 101: 114
[17]	Cai J P, Cottis R A, Lyon S B. Phenomenological modelling of atmospheric corrosion using an artificial neural network [J]. Corros. Sci., 1999, 41: 2001
[18]	Bassam A, Ortega-Toledo D, Hernandez J A, et al. Artificial neural network for the evaluation of CO2 corrosion in a pipeline steel [J]. J. Solid State Electr., 2008, 13: 773
[19]	Wang H T, Han E-H, Ke W. Gray model and gray relation analysis for atmospheric corrosion of carbon steel and low alloy steel [J]. Corros. Sci. Prot. Technol., 2006, 18: 278
[19]	王海涛, 韩恩厚, 柯伟. 碳钢、低合金钢大气腐蚀的灰色模型预测及灰色关联分析 [J]. 腐蚀科学与防护技术, 2006, 18: 278
[20]	Liu S M, Zhang G Y. An improved grey model for corrosion prediction of tank bottom [J]. Prot. Met., 2007, 43: 407
[21]	Caleyo F, Velázquez J C, Valor A, et al. Probability distribution of pitting corrosion depth and rate in underground pipelines: A Monte Carlo study [J]. Corros. Sci., 2009, 51: 1925
[22]	Liu Z Y, Li X G, Zhang Y R, et al. Relationship between electrochemical characteristics and SCC of X70 pipeline steel in an acidic soil simulated solution [J]. Acta Metall. Sin. (Engl. Lett.), 2009, 22: 58
[23]	Li X G, Dong C F, Xiao K, et al. Initial behavior and mechanism of atmospheric corrosion for metal [M]. Beijing: Science Press, 2009
[23]	李晓刚, 董超芳, 肖葵等. 金属大气腐蚀初期行为与机理 [M]. 北京: 科学出版社, 2009
[24]	Ma Y T, Li Y, Wang F H. The atmospheric corrosion kinetics of low carbon steel in a tropical marine environment [J]. Corros. Sci., 2010, 52: 1796
[25]	Liu S Y, Wang S X, Du N, et al. Electrochemical behavior of X80 pipeline steel in simulated red soil solutions with different pH [J].
[25]	Chin J.. Soc. Corros. Prot., 2015, 35: 21
[25]	刘淑云, 王帅星, 杜楠等. X80管线钢在不同pH值红壤模拟溶液中的腐蚀电化学行为 [J]. 中国腐蚀与防护学报, 2015, 35: 21
[26]	Du C W, Zhao T L, Liu Z Y, et al. Corrosion behavior and characteristics of the product film of API X100 steel in acidic simulated soil solution [J]. Int.
[26]	Min J.. Met. Mater., 2016, 23: 176
[27]	Nie X H, Li X G, Du C W, et al. Characterization of corrosion products formed on the surface of carbon steel by Raman spectroscopy [J]. J. Raman Spectrosc., 2009, 40: 76
[28]	Wang S R, Du C W, Li X G, et al. Field corrosion characterization of soil corrosion of X70 pipeline steel in a red clay soil [J]. Prog. Nat. Sci., 2015, 25: 242
[29]	Wang X, Xiao K, Cheng X Q, et al. Corrosion prediction model of Q235 steel in polluted marine atmospheric environment [J]. J. Mater. Eng., 2017, 45: 51
[29]	王旭, 肖葵, 程学群等. Q235钢的污染海洋大气环境腐蚀寿命预测模型 [J]. 材料工程, 2017, 45: 51

[1]	Shuaixing WANG, Nan DU, Daoxin LIU, Jinhua XIAO, Danping DENG. Influence of Soil Water Content Adjusted by Simulated Acid Rain on Corrosion Behavior of X80 Steel in Red Soil[J]. 中国腐蚀与防护学报, 2018, 38(2): 147-157.
[2]	Yun DAI,Shengdan LIU,Yunlai DENG,Xinming ZHANG. Pitting Corrosion of 7020 Aluminum Alloy in 3.5%NaCl Solution[J]. 中国腐蚀与防护学报, 2017, 37(3): 279-286.
[3]	Wang GUO,Weimin ZHAO,Timing ZHANG,Tianhai DU,Yong WANG. Hydrogen Permeation Behavior of X80 Steel under Cathodic Polarization and Stress[J]. 中国腐蚀与防护学报, 2015, 35(4): 353-358.
[4]	LIU Zhiyong, JIA Jinghuan, DU Cuiwei, LI Xiaogang, WANG Liying. Corrosion Behavior of X80 and X52 Steels in Simulated Seawater Environments[J]. 中国腐蚀与防护学报, 2014, 34(4): 327-332.
[5]	ZHU Min, DU Cuiwei, LI Xiaogang, LIU Zhiyong, WANG Liye. Effects of Alternating Current (AC) Frequency on Corrosion Behavior of X80 Pipeline Steel in a Simulated Acid Soil Solution[J]. 中国腐蚀与防护学报, 2014, 34(3): 225-230.
[6]	LIANG Ping,WANG Ying. Electrochemical Behavior of X80 Steel Covered by A Rust Layer Formed after Short-term Corrosion[J]. 中国腐蚀与防护学报, 2013, 33(5): 371-376.
[7]	HUANG Feng; QU Yanmiao; DENG Zhaojun; LIU Jing;ZHENG Chaochao; LI Xiaog. PITTING ELECTROCHEMICAL BEHAVIORS OF DIFFERENT MICROSTRUCTURE X80 STEEL IN HIGH pH SOIL SIMULATIVE SOLUTION[J]. 中国腐蚀与防护学报, 2010, 30(1): 29-34.

No Suggested Reading articles found!

Viewed

Full text

Abstract

Cited

Shared

Discussed