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Article

Effect of Corrosion Characteristics on Long-Term Aging of Austenitic 304 Steel

Department of Materials Science and Engineering, Chosun University, Gwangju 501759, Korea
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(24), 5557; https://doi.org/10.3390/app9245557
Submission received: 15 November 2019 / Revised: 13 December 2019 / Accepted: 13 December 2019 / Published: 17 December 2019
(This article belongs to the Special Issue Selected Papers from the ICMR 2019)

Abstract

:
The objective of this study is to investigate the effect of long-term aging on electrochemical corrosion characteristics of austenitic AISI 304 steel. AISI 304 steel was subjected to aging treatment for an extended period at 700 °C up to a maximum of 10,000 h. The variation in the microstructure of aged specimens was observed with an optical microscope (OM) and a scanning electron microscope (SEM). The electrochemical polarization test was conducted to obtain the corrosion current density (Icorr) and corrosion potential (Ecorr). The metastable intermetallic M23C6 carbides generated in the vicinity of γ/γ grain boundaries and coarsened with aging time. The δ-ferrite island decomposed into σ-phase and M23C6 carbide with an aging time increase. As the aging time increased, the current density increased, but the corrosion potential of the austenitized specimen exhibited a minimum value of 0.04 μA/cm2. The highest pitting resistance exhibited at the austenitized specimen due to the absence of carbides. Consequently, the corrosion resistance of austenitic AISI 304 steel decreases with long-term aging time. The microstructural analyses well support this result.

1. Introduction

Austenitic stainless steels are chrome-nickel alloy steels with excellent corrosion resistance, high strength, and good weldability. This excellent corrosion resistance is due to the chromium content higher than 16% that forms an oxide protective film on the surface. Therefore, they are widely used as essential materials for vessels and pipes in power plants, chemical industries, medical applications, and structural facilities. Even though these austenitic structural materials have excellent mechanical properties and corrosion resistance, they become deteriorated and degraded due to high temperature, high pressure, and long-term use [1,2,3]. Although many previous studies have reported material degradation, there is a lack of reporting of long-term material degradation for 10,000 h and at high temperatures of 700 °C in austenitic steel [4,5].
When the austenitic stainless steel is exposed to temperatures between 600 and 800 °C, it is susceptible to sensitization. During sensitization, the Cr-rich carbides generated along grain boundaries and twin boundaries, which caused depletion of Cr atoms in the vicinity of grain boundaries. In most studies, the mechanism of sensitization of stainless steel is about Cr depletion due to the generation of metastable intermetallic precipitation, which makes the Cr amount at the grain boundary fall below 12% [6]. Tekin et al. studied the grain boundary sensitization and desensitization during the aging of AISI 316 austenitic stainless steel at temperatures between 550 and 750 °C. They reported that the Cr contents dropped below 13% and more due to the Cr depletion at grain boundary [7]. Rhouma et al. studied the intergranular corrosion behavior of AISI 316 stainless steel aged in the range between 550 and 700 °C. They measured the Cr concentration at the vicinity of grain boundary during aging at each temperature. They also reported that the Cr concentration decreased below 12% at grain boundary [8].
The δ-ferrite, which is the body centered cubic (BCC) crystal structure, is formed during solidification and remains along grain boundaries at room temperature in stainless steel. It successfully acts as a strong barrier to the dislocation motion, slows grain growth, and enhances mechanical strength because the interphase boundaries act as strong barriers to the dislocation motion [9]. In addition, this δ-ferrite can transform into the σ-phase in the austenite through heat treatment, in which the σ-phase is an intermetallic compound with a tetragonal crystal structure. The chemical composition of this σ-phase varies considerably. Therefore, it is difficult to define this phase in the form of unique formulas. The precipitation rate of the σ-phase from the δ-ferrite is about 100 times more rapid than directly from austenite due to the Cr content and diffusion [10]. The σ-phase has a negative effect on the mechanical properties, such as toughness and ductility because it is hard, brittle and nonmagnetic. In general, the presence of the δ-ferrite decreases the incubation period of the generation of the σ-phase. Therefore, the small fraction of δ-ferrite, less than 1%, has been recommended in order to avoid hot cracking and brittle σ-phase resulting from the welding of austenitic stainless steel. It is therefore of considerable importance to identify the decomposition of ferrite and austenite during the long-term aging process and to quantify the associated chromium depletion in order to understand their specific effects on the corrosion behavior. In fact, the effect of σ-phase and δ-ferrite on corrosion resistance is not clear and is not studied enough.
The objective of this study is to investigate the influence of long-term aging on electrochemical corrosion characteristics of AISI 304 steel. AISI 304 steel was subjected to aging treatment for a long time up to a maximum of 10,000 h at a temperature of 700 °C.

2. Experimental Details

The test materials are austenitic AISI 304 stainless steel. The composition of the test specimens is shown in Table 1. It was analyzed by the inductively coupled plasma mass spectrometry (ICP-MS). In order to observe the microstructure of the aging specimens for a long time, the specimens were prepared by cutting them into 10 mm × 10 mm in size from the aging specimens and mounting them at low temperature using a mounting resin. The observation surface was polished using alumina paste of 1 μm in turn after mechanical polishing from #220 to #2000. The surface was corroded by chemical etching, and the corrosion solution was immersed in Vilella’s reagent (Glycerol 45 mL + Nitric acid 15 mL + Hydrochloric acid 30 mL) solution at room temperature for about 1 min, corroded, and washed clean. The microstructural variation of long-term aging samples was observed by optical microscope (OM, Cal Zeiss: Axio Vert. A1, GER) and scanning electron microscope (SEM, Seron: AIS 2000C, KOR).
In order to perform precise surface element analysis, an electron probe microanalyzer (EPMA, Jeol: JXA-8230, JAP) was used. Elemental analysis was performed with an acceleration voltage of 15 kV, a beam current of 20 nA, and a beam size of 1 μm.
As shown in Figure 1, the test specimens were subjected to austenitizing treatment at 1200 °C for 6 h and water quenching, followed by artificial aging at 700 °C for a determined time. The interrupt test was conducted to fabricate the test samples with different aging time, such as 100, 1000, 5000, and 10,000 h, respectively.
The austenitic AISI 304 steel is typical stainless steel and has a face-centered cubic (FCC) structure. In general, δ-ferrite formed during the casting process is present at grain boundaries. X-ray diffraction analysis was performed to identify the crystal structures. Scan intervals from 30 degrees to 100 degrees using an X-ray diffractometer (XRD, Rigaku; X’pert PRO MPD, JAP) were performed in a 2θ scan with 0.01 degrees and holding time of 1 s. X-rays were set to a current of 30 mA and a tube voltage of 40 kV under CuKa (λ = 1.54060) target conditions.
A ferrite scope was used to measure the fraction of δ-ferrite presented at the austenite grain boundaries. Ferrite scopes are measured according to the magnetic induction method. The magnetic field generated by the coil interacts with the magnetic component of the test specimen, and the change in the magnetic field causes a voltage change proportional to the ferrite component in the secondary coil. This voltage is evaluated to determine the ferrite component [11]. Ten times were measured for each test piece using this ferrite scope (Fischer; Mp-30E, AUS). For the purpose of magnetic force microscopy observation, the size of the specimen was prepared by machining 10 mm × 10 mm × 5 mm. The surface was ground for 4 h using a vibratory polishing machine.
The electrochemical corrosion test was employed in a standard three-electrode system (WonATech; ZIVE SP 1, KOR). The working electrode at which the AISI 304 specimen was exposed with 1 cm2 area. A saturated calomel electrode was used for a reference electrode, and a platinum wire electrode was also used for the auxiliary electrode. All corrosion test was achieved in a 0.75% NaCl solution at room temperature. The experiment was carried out using the SM6 program, and the potential range was specified from −0.5 Vsce to 1.5 Vsce and was open-circuit. The scan rate was 1 mV/s, and the current (I) range was 10 mA, and the experiment time was about 30 min.

3. Results and Discussion

3.1. Microstructure Analysis

Figure 2 depicts the OM photographs of the surface microstructure at each aging treated sample. As shown in Figure 2a, the initial aging state of the austenitized sample showed that the grains had polygonal shape and the typical annealing twins were observed in most grains. Song et al. reported that annealing twins exist inside the austenite grains in equiaxed grains [11]. Most of all, the grain boundaries are not clear due to no precipitation along the grain boundary. Figure 2b is an optical micrograph after 100 h of heat treatment, and the grain boundaries start to appear clearly, and the δ-ferrite appears as a dark island on the γ/γ interface of the grain boundary. Figure 2c is a micrograph of 1000 h heat treatment sample, the grain boundary becomes clearer due to precipitation along the grain boundary, and the grain shape starts to change into a round shape. Figure 2d is a micrograph of 5000 h of heat treatment sample. In addition to the grain boundary, the precipitates can be observed within the grain interior after 5000 h of heat treatment, and this phenomenon is more prominent at 10,000 h heat treatment sample as shown in Figure 2e. As the heat treatment time increased, many precipitates were formed along with γ/γ interface of the grain boundary and also within a grain interior.
Figure 3 shows the micrographs of grain boundaries observed by the SEM. In the initial state of the austenitized sample, no precipitates were observed along the grain boundary as already mentioned in Figure 2. However, as the heat treatment time increased, the precipitates generated and coarsened along the grain boundaries, which are known as Cr-rich intermetallic carbides [12]. For 100 h aging sample, the most intermetallic carbides M23C6 generated along grain boundaries. However, in addition to the grain boundary, the precipitation also starts to generate within the grain interior as shown in Figure 3c. This precipitation within the grain interior is dominant after 5000 h of aging time. Figure 4 shows the SEM micrographs of δ-ferrite phase along the grain boundary. It can be seen that the decomposition of δ-ferrite proceeds rapidly with increasing aging time, and the δ-ferrite decomposes into M23C6, σ-phase, and new austenite with increasing aging time as is noticed in micrographs [13].
The transformation of the δ-ferrite has been known as the decomposition into two other phases [13].
δ ⇆ M23C6 + γ
δ ⇆ σ + γ
Figure 5 schematically shows the decomposition model from δ-ferrite to austenite and σ-phase, as shown in Figure 4. Since the amount of chromium required for the formation of the σ-phase exceeds the amount of chromium contained in the δ-ferrite, additional chromium must be supplied. This chromium is supplied from the δ-ferrite zone so that austenite can be transformed simultaneously with the σ-phase. Thus, the new austenite is depleted of chromium compared to δ-ferrite. Phase balance also requires splitting for a nickel. Both the σ-phase/δ-ferrite have low content. Therefore, the nickel content is reduced at the δ-ferrite/σ-phase interface for σ-phase formation. As shown in Figure 5, the splitting of nickel and chromium is easily seen by diffusion along with the vacancy of austenite and δ-ferrite interfaces. This interfacial diffusion promotes the migration of substituted (nickel, chromium) elements as compared to volume diffusion through the bulk phase at relatively low annealing temperatures.
Figure 6 shows the result of the analysis of δ-ferrite through EPMA. Figure 6a is a photograph showing the EPMA analysis result of the austenitized sample. The iron element content is higher in the austenitic matrix than in the δ-ferrite. However, the chromium element content is higher in δ-ferrite than in austenitic matrix due to the difference of Cr element content at each phase. Figure 6b shows the EPMA analysis result of the 100-h aging specimen. As previously explained, the δ-ferrite may be decomposed by heat treatment. In this stage, the δ-ferrite already started the transformation into σ-phase, M23C6, and new γ-austenite. The chromium element content increased compared with δ-ferrite and the iron element content increased within the center of δ-ferrite interior due to the generation of new γ-austenite. This transformation is more progressive after 10,000 aging as shown in Figure 6c.
During the sensitization of austenitic AISI 304 steel, the intermetallic M23C6 carbides precipitated along grain boundaries and twin boundaries. Therefore, the Cr element depletion happens in the vicinity near these boundaries. In sensitized austenite steel, the grain boundaries and interfaces are thus more susceptible to martensitic transformation, sensitization induced martensite transformation. To analyze the sensitization induced martensite with long-term aging, X-ray diffraction, ferrite scope, and magnetic force microscopy (MFM) were analyzed.
Figure 7a shows the results of X-ray diffraction analysis. As already observed by the optical microscope and the secondary electron microscope, X-ray diffraction analysis showed that the peak of δ-α’ increased as the heat treatment time increased due to the effects of δ-ferrite and α ‘-martensite transformation. Figure 7b shows the result of ferrite scope measurement. From these results, the ferrite fraction seemed to increase with increasing heat treatment time. However, as already observed through optical microscopy and scanning electron microscopy, the δ-ferrite is decomposed into σ-phase, M23C6, and new γ-austenite with increasing heat treatment time. Since only δ-ferrite is usually a magnetic phase of the austenitized sample, it can be analyzed by magnetic force microscopy to evaluate magnetic properties.
Takaya et al. observed the formation of martensite around grain boundaries through magnetic force microscopy [14]. Figure 8 shows the MFM micrographs of test specimens of 0, 5000, and 10,000 h. In this experiment, it is hard to observe the magnetic domain at 0 h, but the magnetic domain was developed at 1000 h. This magnetic domain can be observed near the grain boundary after 5000 h and 10,000 h heat treatment due to the generation of sensitization induced martensite transformation. In this study, the peak increases in the X-ray diffraction analysis and the increase of Ferrites cope reading mean the sensitization induced martensite had indeed been induced.

3.2. Corrosion Properties

The electrochemical polarization test was conducted and extracted the corrosion potential (Ecorr) and corrosion current (Icorr) for the polarization curves using the Tafel extrapolation method, as shown in Figure 9 and Table 2. The corrosion potential of austenitized specimen exhibited −293 mV, and it is slightly increased for 100 h aging to −238 mV. Additionally, for 1000 h of aging, the corrosion potential shows the minimum value of −405 mV. The aging process promotes the active dissolution of test samples due to the generation of grain boundary carbides, which is the metastable intermetallic M23C6. Next, the corrosion potential increased to −308 mV for 5000 h aging and −231 mV for 10,000 h aging, respectively. Despite the difference in corrosion potential during long-term aging, the corrosion current density consistently increased with aging time. The corrosion current density is a significant value, which is closely related to the corrosion resistance more than the corrosion potential [15].
Because it is directly proportional to the corrosion rate based on Faraday’s law, the corrosion current density may be considered to estimate the corrosion behavior of long-term aging samples. The corrosion current density of the austenitized specimen exhibited a minimum value of 0.04 μA/cm2, and it is the same value with 100 h aging due to the not enough sensitization. Then, for 1000 h aging, it increased to 0.09 μA/cm2 and up to 5.8 μA/cm2 for 10,000 h aging. During the polarization test, the oxidation on the surface of the test specimen takes place when the cathodic scan ends and the anodic scan starts. The oxide film starts to form very slowly, and when the surface of metal exposed to the test is completely covered, the corrosion current becomes independent of potential. In general, when the material is lower, it means that it is easier for the material to lose its electrochemical reactivity (i.e., passivate current density, Ipass) [16,17]. Easier passivation was observed until 1000 h aging, then it decreased a lot after 5000 h aging. As for pitting resistance, it appears but not clearly with increasing aging time. The highest pitting resistance was exhibited by the austenitized specimen having the highest pitting potential due to the absence of carbides and non-sensitization.
Diffusion along the grain boundary is sufficiently rapid and generates intermetallic phases near grain boundaries. The metastable intermetallic Cr-rich phase, M23C6 carbides, are responsible for Cr depletion in the vicinity of the γ/γ grain boundary interface and inside the ferrite phases [18]. This Cr depletion promotes the sensitization near the grain boundary and increases the current density with long-term aging. This phenomenon is dominant after 5000 h aging due to the formation of Cr rich carbides within gran interior, as previously shown in Figure 5. Therefore, the current density increased abruptly and resulted in a decrease in corrosion resistance. This Cr depletion is directly related to the generation of M23C6 carbides. Therefore, we should also consider the size and distribution of carbides during long-term aging when we evaluate the effect of precipitates on the corrosion resistance. We need to evaluate quantitatively the Cr depletion, size, and distribution of carbides for further research to investigate the influence of carbide on the corrosion resistance. In addition to the Cr depletion near the grain boundary, the ferrite islands along the grain boundary decomposed into σ-phase. For the formation of σ-phase, additional Cr must be supplied from ferrite and γ-austenitic matrix. Therefore, in the vicinity of γ/δ interface, the Cr depletion may be accelerated, causing also decrease in corrosion resistance with long-term aging. As a concluding result of the polarization test, the corrosion resistance of AISI 304 stainless steel subjected to long-term thermal aging decreases with aging time. The microstructural analysis results well support this result.

4. Conclusions

The effect of long-term aging of austenitic 304 steel on electrochemical corrosion characteristics has been investigated at a temperature of 700 °C for up to 10,000 h. The following conclusions were drawn:
  • As the aging progresses for a long time, the metastable intermetallic M23C6 carbides generated in the vicinity of γ/γ grain boundaries and coarsened with aging time. In addition to the grain boundary, the intermetallic phases also generated within the grain interior.
  • The δ-ferrite decomposed into σ-phase, and M23C6 carbide with an aging time increase. This dissolution of δ-ferrite was mainly attributed to the excess Cr depletion in the δ-ferrite and γ/δ interface resulting from the Cr carbide precipitation.
  • The δ-ferrite phase can be decomposed into σ-phase and M23C6 carbide in austenitic stainless steels, but the X-ray diffraction analysis showed an increased ferrite peak. It may be due to chromium depletion due to prolonged degradation and sensitization-induced martensite near the grain boundaries.
  • As the aging time increased, the current density increased, but the corrosion potential of the austenitized specimen exhibited a minimum value of 0.04 μA/cm2 due to the not enough sensitization. Easier passivation was observed until 1000 h aging, and the highest pitting resistance was exhibited by the austenitized specimen due to the absence of carbides.

Author Contributions

C.H., S.A., and M.K. carried out the experiment. C.H. wrote the manuscript with support from S.A. and M.K. C.K. conceived the original idea and supervised the project.

Funding

This research was supported by the National Research Foundation of Korea (NRF) funded by the Ministry of Education (No. 2017R1D1A3B03028681).

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Heat treatment history of AISI 304 stainless steel.
Figure 1. Heat treatment history of AISI 304 stainless steel.
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Figure 2. Optical micrographs of long-term material degradation; (a) 0 h, (b) 100 h (c) 1000 h, (d) 5000 h, and (e) 10,000 h.
Figure 2. Optical micrographs of long-term material degradation; (a) 0 h, (b) 100 h (c) 1000 h, (d) 5000 h, and (e) 10,000 h.
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Figure 3. SEM micrographs of grain boundary precipitation; (a) 0 h, (b) 100 h, (c) 1000 h, (d) 5000 h, (e) 10,000 h.
Figure 3. SEM micrographs of grain boundary precipitation; (a) 0 h, (b) 100 h, (c) 1000 h, (d) 5000 h, (e) 10,000 h.
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Figure 4. SEM micrographs of delta ferrite; (a) 0 h, (b) 100 h, (c) 1000 h, (d) 5000 h, (e) 10,000 h.
Figure 4. SEM micrographs of delta ferrite; (a) 0 h, (b) 100 h, (c) 1000 h, (d) 5000 h, (e) 10,000 h.
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Figure 5. Schematic illustration of the transformation mechanism for delta-ferrite to sigma plus austenite reaction [13].
Figure 5. Schematic illustration of the transformation mechanism for delta-ferrite to sigma plus austenite reaction [13].
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Figure 6. The EPMA elemental mapping of AISI 304 at each long-term aging time; (a) 0 h, (b) 100 h, (c) 10,000 h.
Figure 6. The EPMA elemental mapping of AISI 304 at each long-term aging time; (a) 0 h, (b) 100 h, (c) 10,000 h.
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Figure 7. Variation in delta-ferrite with long-term aging of AISI 304; (a) XRD patterns and (b) ferrite fraction.
Figure 7. Variation in delta-ferrite with long-term aging of AISI 304; (a) XRD patterns and (b) ferrite fraction.
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Figure 8. MFM micrographs at each long-term aging time; (a) 0 h, (b) 5000 h, (c) 10,000 h.
Figure 8. MFM micrographs at each long-term aging time; (a) 0 h, (b) 5000 h, (c) 10,000 h.
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Figure 9. Polarization curve of long-term aging of AISI 304.
Figure 9. Polarization curve of long-term aging of AISI 304.
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Table 1. Chemical composition of AISI 304 stainless steel (wt %).
Table 1. Chemical composition of AISI 304 stainless steel (wt %).
CSiMnPSMoNiCrCuFe
0.0380.621.480.0140.0250.408.6818.270.60Bal
Table 2. The average value of current density and corrosion potential of long-term aging of AISI 304.
Table 2. The average value of current density and corrosion potential of long-term aging of AISI 304.
Aging TimeIcorr [μA/cm2] Ecorr [mV]
0 h0.04−293
100 h0.04−238
1000 h0.09−405
5000 h0.473−308
10,000 h5.832−231

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Huh, C.; An, S.; Kim, M.; Kim, C. Effect of Corrosion Characteristics on Long-Term Aging of Austenitic 304 Steel. Appl. Sci. 2019, 9, 5557. https://doi.org/10.3390/app9245557

AMA Style

Huh C, An S, Kim M, Kim C. Effect of Corrosion Characteristics on Long-Term Aging of Austenitic 304 Steel. Applied Sciences. 2019; 9(24):5557. https://doi.org/10.3390/app9245557

Chicago/Turabian Style

Huh, Chaeeul, Seongbin An, Minsuk Kim, and Chungseok Kim. 2019. "Effect of Corrosion Characteristics on Long-Term Aging of Austenitic 304 Steel" Applied Sciences 9, no. 24: 5557. https://doi.org/10.3390/app9245557

APA Style

Huh, C., An, S., Kim, M., & Kim, C. (2019). Effect of Corrosion Characteristics on Long-Term Aging of Austenitic 304 Steel. Applied Sciences, 9(24), 5557. https://doi.org/10.3390/app9245557

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