Corrosion Behavior of AZ31 Magnesium Alloy in Dynamic Conditions

doi:10.11900/0412.1961.2017.00248

Acta Metall Sin

2017, Vol. 53

Issue (10): 1347-1356 DOI: 10.11900/0412.1961.2017.00248

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Corrosion Behavior of AZ31 Magnesium Alloy in Dynamic Conditions

Linyuan HAN, Xuan LI, Chenglin CHU(

), Jing BAI, Feng XUE

School of Material Science and Engineering, Southeast University, Nanjing 211189, China

Cite this article:

Linyuan HAN, Xuan LI, Chenglin CHU, Jing BAI, Feng XUE. Corrosion Behavior of AZ31 Magnesium Alloy in Dynamic Conditions. Acta Metall Sin, 2017, 53(10): 1347-1356.

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Abstract

Magnesium alloy is now a promising bio-absorbable material. The previous researches on the corrosion and degradation behavior of biomedical magnesium alloy are mainly carried out in static conditions in vitro. However, considering the real physiological flow field of different flow states in vivo, the static degradation experiments can not effectively simulate the real situation. It is important to study the effect of flow field on the corrosion behavior of magnesium alloy and establish the relationship between flow rate and corrosion rate for the research and development of biomedical magnesium alloy. The corrosion behavior of AZ31 magnesium alloy in the flow field was studied using a self-designed dynamic test bench in vitro by electrochemical measurement, tensile method, pH value test of simulated body fluid (SBF) and SEM observation in this work. The relationship between the corrosion rate of magnesium alloy and the flow rate of the flow field was investigated from the perspective of corrosion electrochemistry. The influence of flow state and flow-induced shear stress (FISS) on corrosion behaviors at different positions of magnesium alloy was also studied by ANSYS finite element analysis. The results show that the flow field will accelerate the corrosion of AZ31 magnesium alloy and the corrosion rate increases with the increase of the flow rate. There is a relationship between the corrosion current density i_corr of magnesium alloy and the average flow rate ν during the early corrosion stage, namely $i corr - 1 = i c - 1 + A ν - 1 / 2$ , where i_c is the corrosion current density ignoring the influence of diffusion, and A is a constant. With the corrosion time extended, due to the influence of the corrosion products, the experimental results gradually deviate from the calculated linear relationship of i_corr^-1~ν^-1/2. Also, there are significant differences in the fluid flow state and FISS distributions at different positions of the sample. The mass transfer coefficient at the edge of the sample under different flow rates is 4~5 times bigger than that at the middle position. The localized corrosion morphology corresponds well to the FISS distribution and the difference of flow state.

Key words: AZ31 magnesium alloy corrosion behavior flow field electrochemistry mass transfer

Received: 22 June 2017

ZTFLH:

TG146.2

Fund: Supported by National Natural Science Foundation of China (Nos.31570961 and 51771054) and National Key Research and Deve-lopment Program of China (No.2016YFC1102402)

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	Linyuan HAN
	Xuan LI
	Chenglin CHU
	Jing BAI
	Feng XUE

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https://www.ams.org.cn/EN/10.11900/0412.1961.2017.00248 OR https://www.ams.org.cn/EN/Y2017/V53/I10/1347

Fig.1 Schematic of the dynamic test bench in vitro (v—flow rate)

Fig.2 Nyquist plots (a, b) and Bode plots of impedance modulus |Z| (c, d) and phase angle (e, f) vs frequency of AZ31 magnesium alloy in static condition (a, c, e) and dynamic condition under v=0.265 cm/s (b, d, f) (Arrows in Figs.2a, c and e indicate the direction in which the curre changes over time)

Fig.3 Equivalent circuit for fitting the EIS data measured at static and dynamic conditions in simulated body fluid (SBF) (R_s—electrolyte resistance; CPE₁—capacitance of precipitated corrosion products layer; R₁—resistance of precipitated corrosion products layer; CPE_dl—double layer capacitance; R_dl—charge transfer resistance)

Fig.4 EIS fitted results of polarization resistance R_p (a), R_dl (b) and R₁ (c) as the functions of time for AZ31 magnesium alloys in static condition and dynamic condition under different flow rates

Fig.5 Tensile strengths (a) and pH values (b) of AZ31 magnesium alloys immersed in static condition and dynamic condition under different flow rates

Fig.6 Experimental and fitted corrosion current density i_corr results for AZ31 magnesium alloys as the functions of flow rate under different times

Fig.7 SEM (a) and EDS analysis (b) of the corrosion product of AZ31 magnesium alloy at v=0.265 cm/s for 72 h

Fig.8 Simulated distributions of the flow rate trace (a) and flow-induced shear stress (b) at ν=0.265 cm/s

Table 1 Flow-induced shear stresses and mass transfer coefficients of different positions under different flow rates

Fig.9 SEM images of edge (a, c) and middle (b, d) regions of AZ31 magnesium alloy in static condition (a, b) and dynamic condition under ν=0.265 cm/s (c, d) immersed in SBF for 72 h

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