Effect of Cu Content on Corrosion Behavior of Q420 Steel in an Artificial Solution of Bottom Plate Environment of Cargo Oil Tanks

doi:10.11902/1005.4537.2023.308

Journal of Chinese Society for Corrosion and protection

2024, Vol. 44

Issue (4): 927-938 DOI: 10.11902/1005.4537.2023.308

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Effect of Cu Content on Corrosion Behavior of Q420 Steel in an Artificial Solution of Bottom Plate Environment of Cargo Oil Tanks

LIU Chao¹, DAI Wenhe¹, WANG Kejun², CHEN Zengyao², AN Yanjun¹, LIU Zhiyong¹^,²(

)

1. Key Laboratory of Safety Evaluation of Steel Pipes and Fittings for State Market Regulation, Hebei Special Equipment Supervision and Inspection Institute, Shijiazhuang 050061, China
2. Institute of Advanced Materials & Technology, University of Science and Technology Beijing, Beijing 100083, China

Cite this article:

LIU Chao, DAI Wenhe, WANG Kejun, CHEN Zengyao, AN Yanjun, LIU Zhiyong. Effect of Cu Content on Corrosion Behavior of Q420 Steel in an Artificial Solution of Bottom Plate Environment of Cargo Oil Tanks. Journal of Chinese Society for Corrosion and protection, 2024, 44(4): 927-938.

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Abstract

Trial low alloy steels based on Q420 steel were prepared by alloying with a little amount of Cu 0.5%, 1.0%, 1.5% and 2.0%, mass fraction. Then their corrosion behavior was assessed in an artificial solution (i.e. 10%NaCl (mass fraction) solution with pH 0.85) as a simulation of the corrosive environment of the bottom plate of cargo oil tanks were studied by means of immersion tests, SEM, XRD, TEM, and other methods. The results indicate that the low alloy steel with 1.0%Cu of a microstructure of ferrite and pearlite can ensure excellent corrosion resistance at the strength level of Q420 steel. The addition of Cu plays a crucial role in the corrosion resistance of the low alloy steel. As the soaking time prolongs, the corrosion rate of the trial steels with 5 different Cu-content shows an overall downward trend. The trial low alloy steel with 1%Cu presents a corrosion rate of 0.29 mm/a, which is 43% lower than the Q420 benchmark steel. The study proves that the addition of Cu has a positive effect on the uniform corrosion of Q420 in the simulated bottom plate environment of cargo oil tanks.

Key words: Cu cargo tanker corrosion low alloy steel

Received: 26 September 2023 32134.14.1005.4537.2023.308

ZTFLH:

TG174.2

Fund: National Natural Science Foundation of China(52071017)

Corresponding Authors: LIU Zhiyong，E-mail: liuzhiyong7804@126.com

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	LIU Chao
	DAI Wenhe
	WANG Kejun
	CHEN Zengyao
	AN Yanjun
	LIU Zhiyong

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https://www.jcscp.org/EN/10.11902/1005.4537.2023.308 OR https://www.jcscp.org/EN/Y2024/V44/I4/927

Sample	C	Si	Mn	P	Al	S	Cu	Ni	Cr	Nb	Ti	Ca
0Cu	0.11	0.47	1.42	0.0095	0.031	0.027	-	0.23	0.45	0.063	0.015	$≤ 0.05$
0.5Cu	0.11	0.36	1.32	0.0093	0.031	0.022	0.52	0.22	0.39	0.028	0.015	$≤ 0.05$
1Cu	0.10	0.30	1.49	0.0085	0.032	$0.025$	1.03	0.2	0.36	0.028	$≤ 0.01$	$≤ 0.05$
1.5Cu	0.096	0.22	1.52	0.0090	0.035	0.026	1.68	0.22	0.38	0.028	0.014	$≤ 0.05$
2Cu	0.096	0.23	1.43	0.0086	0.036	0.026	2.04	0.21	0.36	0.024	0.012	$≤ 0.05$

Table 1 Chemical compositions of the testing steels containing different contents of Cu

Fig.1 Microstructures of five test steels containing different contents of Cu: (a) 0Cu, (b) 0.5Cu, (c) 1Cu, (d) 1.5Cu, (e) 2Cu

Fig.2 IPF diagrams (a-e) and average grain size diagram (f) of EBSD images of five test steels containing different contents of Cu: (a) 0Cu, (b) 0.5Cu, (c) 1Cu, (d) 1.5Cu, (e) 2Cu

Fig.3 TEM image of 1Cu steel (a) and EDS result of the precipitates (b)

Fig.4 Hardness (a), tensile strength and yield strength (b), and impacting energy at different temperatures (c) of five test steels

Fig.5 Average corrosion rates of five test steels during immersion in the simulated solution for 3, 7, 14 and 30 d

Fig.6 Macro appearances of five test steels after immersion in the simulated solution for 3 d (a1-e1) and 30 d (a2-e2): (a1, a2) 0Cu, (b1, b2) 0.5Cu, (c1, c2) 1Cu, (d1, d2) 1.5Cu, (e1, e2) 2Cu

Fig.7 Micro appearances of 0Cu (a), 0.5Cu (b), 1Cu (c), 1.5Cu (d) and 2Cu (e) steels after immersion in the simulated solution for 30 d and removing the corrosion products, and corresponding EDS result of the local area marked in Fig.7c (f)

Fig.8 Cross-sectional images and EDS element mappings of five test steels immersed for 30 d: (a) 0Cu, (b) 0.5Cu, (c) 1Cu, (d) 1.5Cu, (e) 2Cu

Fig.9 XRD patterns of five test steels after 30 d immersion (a), and α^*/γ values (b)

Fig.10 XPS spectrum of the rust layer of 1Cu steel immersed for 30 d

Fig.11 Potentiodynamic polarization curves of five test steels after immersion in the simulated solution for 0 d (a) and 30 d (b)

Table 2 Fitting results of the polarization curves of five test steels

Fig.12 Nyquist (a1-c1) and Bode (a2-c2) plots of five test steels after immersion in the simulated solution for 0 d (a1, a2), 7 d (b1, b2) and 14 d (c1, c2)

Fig.13 Equivalent circuit model of EIS and fitting values of R_ct + R_f

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