Measurement and Analysis of Hydrogen Distribution in Stress Environment Using Vickers Microhardness Technique

Gu, Lei; Wang, Jing; Li, Xiaoyang; Zeng, Yanjun

doi:https://doi.org/10.1155/2018/7857932

Advances in Materials Science and Engineering

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Abstract Introduction Results Discussion Conclusions Data Availability Conflicts of Interest Acknowledgments References Copyright Related Articles

Research Article | Open Access

Volume 2018 | Article ID 7857932 | https://doi.org/10.1155/2018/7857932

Measurement and Analysis of Hydrogen Distribution in Stress Environment Using Vickers Microhardness Technique

Lei Gu,¹Jing Wang,¹Xiaoyang Li,¹and Yanjun Zeng²

Academic Editor: Fulvio Lavecchia

Received03 May 2018

Revised15 Jul 2018

Accepted09 Aug 2018

Published27 Sept 2018

Abstract

In this paper, the stress distribution field in front of the crack tip was obtained by loading a modified WOL specimen using a bolt. Considering the relationship between microhardness and hydrogen content or internal stress in the metal, a model based on the change of microhardness increment is proposed to describe the trend of hydrogen concentration distribution in the stress environment. The agreement between theoretical model and experimental results is verified by the Vickers microhardness tester. Based on the model, there is a simple additive relationship between the hydrogen-induced microhardness increment and the stress-induced microhardness increment. Therefore, the microhardness tester can be employed to evaluate the hydrogen distribution in metals quantitatively. The experimental results demonstrated that the Vickers microhardness method has accurately revealed the hydrogen concentration behavior accurately in a known equibiaxial stress environment. The hydrogen distribution of specimens in the stress environment was analyzed by taking the change of the microhardness increment along the crack propagation direction of specimens as the indicator.

1. Introduction

Hydrogen is regarded as a clean and green resource of energy. Hydrogen energy technology has attracted extensive attention with the industrialization of hydrogen fuel cells and hydrogen energy automobile. More and more production equipment is exposed to a hydrogen-containing environment. As a result of the working stress and external stress, the equipment is usually in a low-cycle fatigue working condition in the engineering environment. The stress and hydrogen in the metal can degrade its mechanical properties overtime. Therefore, in order to determine the mechanism for hydrogen corrosion in the stress environment and to ensure the safety of equipments exposed to hydrogen, the hydrogen distribution behavior in the stress environment has to be understood [1, 2]. However, it is very difficult in experimental evaluation of the hydrogen concentration behavior in the project site.

The determination of hydrogen distribution in metals has always been the focus and difficulty in the study of hydrogen corrosion. Currently, the proved effective methods include SIMS [3–5], isotope tracer [6], gaseous hydrogen permeation, electrochemical hydrogen permeation [7, 8], hydrogen desorption isotherms, Gorsky effect, and microhardness distribution method.

In the experimental evaluation of the hydrogen concentration behavior in the stress environment, it has been reported in previous publications that Yu et al. [9] and Mao and Li [10] measured the hydrogen accumulation near the notch tip of hydrogen-charged modified wedge-opening-loading (WOL) specimen under different K_I levels below K_C using the ion microprobe mass analyzer and obtained that the interaction between the stress and hydrogen at the crack tip influenced hydrogen distribution. Nagao et al. studied the effects of stress fields and hydrogen trapping on hydrogen transport in high-strength steels using hydrogen microprint technique and promoted the hydrogen transport by an applied stress field [11]. Takakuwa et al. have proved that X-ray diffraction can be used to measure the hydrogen concentration in stress environments due to the strong linear correlation between hydrogen content and hydrogen-induced strain. X-ray diffraction results show that hydrogen concentrated at the elastic-plastic boundary where the hydrostatic stress is a maximum, in accordance with the stress potential term [12]. Furthermore, Takakuwa et al. had posted that the hydrogen solubility became much higher due to the high strain and high dislocation density [12]. Chen et al. investigated the hydrogen transportation and distribution around the fatigue crack tip in type 304 stainless steel in the stress environment by using hydrogen microprint technique and thermal desorption spectrometry. The results show that hydrogen accumulated in the vicinity of the crack tip during the crack growth in the hydrogen gas environment [13].

However, the above experimental methods are all laboratory methods that are difficult to apply in engineering for some reasons, including the experimental device structure is complicated, the procedure is cumbersome, and the experimental expenses are high. The present study attempts to find a method suitable for the engineering environment to evaluate the hydrogen behavior of metals under stress precisely.

It has been reported in previous publications that the microhardness method can be one of the most important methods to evaluate the equibiaxial stress field [14–18]. Hardness is reduced by the tensile stress and increased by the compressive stress [19–22]. The microhardness distribution method is also an important method for measuring the distribution of hydrogen in metals. Many scholars have proved that the Vickers hardness increases as the hydrogen content increases in metals [23–28]. Furthermore, quite a few scholars have proved that the determination of hydrogen diffusivities in metals by subscale microhardness profiling is a versatile technique that can be used to obtain hydrogen diffusivities with simple experimentation; that is, the increase in hydrogen concentration is proportional to the increase in hardness [29–34]. Based on this, there is a possibility that the hydrogen concentration behavior in the stress environment can be evaluated through variation of the hardness detected by a microhardness tester.

Hydrogen concentration behavior in the stress environment is investigated by the microhardness tester in this paper. The stress environment is created by loading the modified wedge-opening-loading (WOL) specimen with a bolt. The stress state along the crack propagation direction of the specimen is an equibiaxial stress field with a theoretical solution. The corrosion environment is a saturated hydrogen sulfide solution. The measured microhardness increments in front of the crack before and after corrosion were compared.

2. Theoretical Model

2.1. Relationship between Stress and Microhardness

The following equation reveals that a substrate with a tensile stress develops a larger apparent contact area than the virgin material, when indented to the same load [14]:where is the apparent contact area for the substrate with a tensile stress, is the apparent contact area for the virgin material without any stress, is the apparent tensile hydrostatic stress, which is equivalent to the equibiaxial tensile stress at the indented surface, σ_h = σ_x,0 = σ_y,0, and refers to the average contact pressure, p_ave = P/A_b, P is the experimental load.

In the process of indentation experiment, , that is, with the same load, the hardness ratio of any two indentation points is inversely proportional to the ratio of the indentation area. Therefore, the hardness ratio is also a measure of the apparent area ratio, i.e., the ratio of the apparent area of contact for the substrate with a stress to that for the virgin substrate at a fixed indentation load:

The stress field then can simply be written aswhere is the normal acceleration of gravity, = 9.8 m/s², HV_b is the original hardness of stress-free area, HV_σ is the micro-hardness of stress area at any point, and ΔHV_σ is the micro-hardness increment of stress area at any point.

2.2. Theoretical Model of Hydrogen Concentration Distribution in the Stress Environment

In this study, the diffused hydrogen atoms tend to accumulate around the high-stress field, interfaces, and grain boundaries, leading to the main hydrogen damage that can be obtained by means of stress-induced diffusion, which is given by Dean [35]:where c_σ is the hydrogen concentration when σ_h = σ, c₀ is the hydrogen concentration when σ_h = 0, is the partial molar volume of hydrogen, σ_h is the hydrostatic stress, R is the gas constant, and T is the thermodynamic temperature of the test environment.

Since the increase in hydrogen concentration is proportional to the increase in hardness, the relative hydrogen concentration of σ_h = σ iswhere is the hydrogen-induced microhardness increment when σ_h = σ and is the hydrogen-induced microhardness increment when σ_h = 0.

For a modified WOL specimen, the plane strain fields σ_e along the crack propagation direction in front of the crack tip can be obtained by the following equation:where is the yield stress of the metal and is the stress intensity factor, and the relationship between stress intensity factor and the crack length a for the WOL specimen can be calculated bywhere is the stress intensity factor coefficient, which is derived from stress analysis for a sample of a particular geometric shape, is the loading force, and is the thickness of the specimen.

In Equation (7), r is the distance from the crack tip to the measurement point, and r₀ is the boundary of the plastic region in the front of crack tip. For a fixed K_I,

In a stress-induced hydrogen corrosion environment, it is assumed that the microhardness increment along the crack propagation direction of the specimen can be generally divided into two parts: plane strain theoretical stress-induced microhardness increment and the hydrogen-induced microhardness increment. The relationship can be given by the following equation:

3. Experimental Procedures

A modified WOL specimen of #45 steel was employed in this research, as shown in Figure 1. The chemical compositions (mass %) of the tested steel are shown in Table 1. The measured yield stress of the steel was 345 MPa.

The stress intensity factor K_I of the crack tip was determined by the opening displacement of the crack using a bolt, K_I = 45 MPa·m^0.5. The specimens were soaked in saturated hydrogen sulfide solution (2300 ppm) and divided into 3 groups according to different corrosion periods (24 h, 48 h, and 72 h). Each group has 3 specimens to verify the reproducibility of the test.

The Zwick Roell Zhu 2.5 hardness tester produced in Germany was used to measure the hardness distribution in front of the crack before and after corrosion. Vickers hardness HV0.2 was chosen as the hardness index of the material. Starting from the crack tip, the microhardness values were obtained at the intervals of 80–100 μm progressing along the crack propagation direction of the specimen. Hardness was measured until it reached a constant value. For comparison purposes, 10 random hardness points of the specimen surface far from the crack tip were measured to determine the hardness value of stress-free area (Figure 1, the area enclosed by the red box). The hardness of the two surfaces of each specimen is measured.

4. Results

4.1. Microhardness Increment of Stress-Free Area after Corrosion

The mean and standard deviation of the microhardness increment values of stress-free area with different corrosion periods are shown in Figure 2. Subtracting the measured hardness value before corrosion from the measured hardness value after corrosion, the microhardness increment value under different corrosion periods can be obtained. The change in the hardness value of stress-free area after corrosion is the result of individual effect of hydrogen corrosion. Student’s t-test for quantitative variables and chi-squared test for qualitative variables were used for statistical analysis. It can be seen from the results that there is no significant difference () in microhardness increment with different corrosion periods.

4.2. Microhardness Increment along the Crack Propagation Direction of Specimens before and after Corrosion

The microhardness increment distribution was calculated along the crack propagation direction of multiple groups of specimens after soaking for 0 h, 24 h, 48 h, and 72 h in saturated hydrogen sulfide solution, respectively, as shown in Figure 3. The vertical axis represents the microhardness value of the material, and the horizontal axis represents the distance from the crack tip. The microhardness increment is obtained by calculating the difference between the measured hardness and the hardness under stress-free and no corrosion conditions.

(a)

(b)

(c)

(d)

(e)

(f)

In Figure 3, the black square line represents the microhardness increment distribution curve along the crack propagation direction of each specimen under the no corrosion condition. The red circular line represents the microhardness increment distribution curve along the crack propagation direction of each specimen after soaking for 24 hours in saturated hydrogen sulfide solution. The blue triangular line represents the microhardness increment distribution curve along the crack propagation direction of each specimen after soaking in saturated hydrogen sulfide solution for 48 hours. The green triangle line represents the microhardness increment distribution curve along the crack propagation direction of each specimen after soaking in saturated hydrogen sulfide solution for 72 hours.

5. Discussion

5.1. Relationship between Applied Stress and Microhardness Increment

The blue line in Figure 4 shows that the average measured microhardness increment distribution curve along the crack propagation direction, which is calculated by averaging the microhardness increment distributions of the no corrosion condition. In Figure 4, the blue vertical axis represents the microhardness value of the material, the black horizontal axis represents the distance from the crack tip, the blue horizontal solid line is the average hardness values, the horizontal dotted line is the standard deviations of the hardness value, the blue vertical solid line is the mean distance from the crack tip, and the vertical dotted line is the standard deviation of the distance from the crack tip.

The red line in Figure 4 shows that the theoretical stress (σ_y = σ_e) distribution curve along the crack propagation direction of specimens. The red vertical axis represents the stress value, and the black horizontal axis represents the distance from the crack tip.

In Figure 4, the microhardness increment distribution is consistent with the applied stress distribution. The result shows that the stress-induced microhardness increment is due to the presence of stress. To reveal the influence of the applied stress Δσ on the microhardness, the relationship between the applied stress Δσ and the stress-induced microhardness increment ΔHV_σ was investigated, as shown in Figure 5.

From Figure 5, in the no corrosion environment, the microhardness increment versus the applied stress fields have strong linear correlation with a correlation coefficient, R, of 0.98 and significance level of 0.04·10⁻¹⁴. Therefore, an equation describing the relationship between the applied stress and the microhardness increment can be given as follows:where Δσ = σ − σ_b, ΔHV_σ = HV_σ − HV_b, σ is the stress at any point along the direction of crack propagation, σ_b is the corrected stress value of the applied stress, HV is the Vickers hardness at any point along the direction of the crack propagation, HV_b is the Vickers hardness of stress-free area, and k_const is a constant of proportionality, equal to −10 in the present study.

This is in accord with the result of stress estimation by Suresh and Giannakopoulos [14] using the indentation theory, as is shown in Equation (4).

Therefore, in the no corrosion environment, the stress can be described using the stress-induced microhardness increment linearly as follows:

Equation (12) reveals that the stress distribution in front of the crack tip can be evaluated precisely using the microhardness method. For a modified WOL specimen with a fixed stress factor K_I,

5.2. The Hydrogen Distribution in the Stress Environment

The blue line in Figure 6 shows that the experimental average microhardness increment distribution (experimental microhardness increment) along the crack propagation direction of all specimens under the combined effect of applied stress and hydrogen corrosion, which is calculated by averaging the microhardness increment distributions of the same corrosion period in Figure 3. In Figure 3, the curves under the same corrosion period have a strong consistency, indicating the stability of the corrosion soaking in saturated hydrogen sulfide solution.

(a)

(b)

(c)

The red line in Figure 6 shows the plane strain theoretical stress-induced microhardness increment distribution (stress-induced microhardness increment) along the crack propagation direction of specimens without hydrogen corrosion, which was obtained from the relationship between stress and microhardness increment (Equation (12)).

Subtracting the red line (micro-hardness increment distribution curve under the no corrosion condition) from the blue line (microhardness increment distribution curve under the corrosion condition), a new micro-hardness increment distribution curve is obtained, shown as the green line in Figure 6.

The orange line in Figure 6 shows that the hydrogen-induced microhardness increment (theoretical hydrogen-induced microhardness increment) along the crack propagation direction of the WOL specimen, which can be calculated by Equation (6). The hydrostatic stress under plane stress state is σ_e = (σ₁ + σ₂ + σ₃)/3 = 2σ_e/3.

The obtained green line is the experimental curve of hydrogen-induced microhardness increment (experimental hydrogen-induced microhardness increment) distribution along the crack propagation direction of specimens because the green line and the orange line are in good agreement with each other. Therefore, the hydrogen distribution behavior in the stress environment can be successfully measured using the microhardness method. In the actual project, as long as the stress environment is a known equibiaxial stress environment, the microhardness method can be used to accurately obtain the hydrogen concentration distribution in the equipment.

This also reveals that, under the combined effect of applied stress and hydrogen corrosion, the measured microhardness increment can be generally divided into two parts: plane strain theoretical stress-induced microhardness increment and the hydrogen-induced microhardness increment. In this study, the relationship can be given by the following equation:

6. Conclusions

In this paper, the hydrogen distribution of specimens in the stress environment was analyzed by taking the change of the microhardness increment along the crack propagation direction of specimens as the indicator. The conclusions are summarized as follows:(1)In the corrosive environment, the hardness along the crack propagation direction of the specimen is significantly affected by stress and hydrogen concentration. The Vickers microhardness method can accurately reveal the hydrogen concentration behavior accurately in a known equibiaxial stress environment. The microhardness method can be employed to accurately evaluate the hydrogen concentration distribution in the engineering parts.(2)In the Vickers microhardness measurement, there is a simple additive relationship between stress-induced microhardness increment and hydrogen-induced microhardness increment. The experimental results showed that the distribution of hydrogen corrosion concentration in the stress environment along the crack propagation direction of the specimen was consistent with the theoretical relationship between hydrostatic stress and hydrogen corrosion concentration.(3)The experimental results showed that the applied stresses have good linear correlation with microhardness increment in the no corrosion environment, and the scale factor was –10. This showed that the closer the crack tip, the greater the stress and the smaller the microhardness.

Data Availability

The data used to support the findings of this study are available from the corresponding author upon request.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Acknowledgments

This article is supported by the National Key Research and Development Program of China (Project no. 2016YFC0801905-16).

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Copyright © 2018 Lei Gu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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