Introduction

Hydrogen is often regarded as an environmentally superior alternative to conventional fossil fuels in the automotive and power generation sectors1,2. However, atomic hydrogen tends to permeate into materials, leading to hydrogen embrittlement3,4,5,6. The prevailing viewpoint suggests that this embrittlement can be mitigated by incorporating numerous deep hydrogen traps within the materials7,8,9,10. The underlying principle of this approach aims to immobilize or reversibly bind hydrogen atoms, preventing their capture by relatively weak hydrogen traps such as dislocation strain field, microvoids, and low-angle grain boundaries, which can initiate microcracks11,12,13,14,15. The most employed method for introducing a large number of deep traps in steel materials involves the use of microalloying technology to generate numerous precipitates7,9,16,17. While these dispersed precipitates effectively trap hydrogen, the cost associated with employing microalloy elements must also be considered, particularly in the production of long-term pipeline steel materials.

Modern metallurgical methods have enabled the control of the type, quantity, size, shape, and distribution of inclusions in steel through certain technologies, such as hot metal pretreatment and furnace refining18,19,20. Shang et al.21 studied the inclusions by Ti deoxidation and found that, after Ti treatment of molten steel, the deoxidation products are fine and abundant, potentially becoming the nucleation core of MnS and inhibiting its aggregation and growth. Nakajima et al.22 concluded that, when Ti–Mg compound deoxidation is adopted, more small-sized composite non-metallic inclusions could be formed in the steel. Furthermore, the inclusions can also promote the formation of acicular ferrite (AF), which is widely considered a HIC resistance promotion factor23,24,25,26,27. Ueshima et al.28 also reported that MnS is prone to nucleate on the surfaces of oxides, and the depletion of Mn content near inclusions can effectively promote the nucleation of acicular ferrite. We previously demonstrated the successful application of Ti–Mg compound deoxidation to create a large number of finely distributed inclusions in steels29,30,31,32. However, the HIC sensitivities of the steels differ with varying content of Ti–Mg elements addition. Nevertheless, the optimal combination of Ti and Mg elements which can produce superior inclusion morphology with high resistance to HIC still deserves a more comprehensive study. Furthermore, the ideal inclusion design in terms of number, size, and elemental composition remains unclear and warrants further investigation.

This paper seeks to understand the effects of inclusion modification elements on the characterization of inclusions in steel, and the mechanisms by which these inclusions influence the hydrogen migration and segregation, further, the susceptibility of hydrogen-induced cracking (HIC). The nonmetallic inclusions in steel are characterized using field emission scanning electron microscopy (FE-SEM) with energy dispersive spectroscopy (EDS). Dynamic parameters of hydrogen diffusion are measured using electrochemical hydrogen permeation tests. In-situ observation of hydrogen segregation adjacent to inclusions is conducted using the silver microprint technique. Additionally, an in-situ hydrogen escaping device is utilized to investigate hydrogen detrapping behavior from the steel. The results of this study can offer researchers a more comprehensive understanding of HIC, and provide steelmakers with a more efficient approach for modifying nonmetallic inclusions. This effort also addresses the need for rapid validation of HIC resistance and incorporation modification efficiency. The goal is to facilitate a swift feedback loop between hydrogen resistance and steelmaking processes, offering a gentle yet effective means of enhancing industry validation practices. Moreover, through a comparative analysis of the efficacy of incorporating deoxidizing elements with regard to HIC resistance and hydrogen permeation properties, we offer insights into recommended strategies for optimizing high-performance anti-HIC pipeline steel.

Results and discussions

Microstructure and inclusions

Figure 1 shows the microstructures of the three test steels observed under an optical microscope (OM). Generally, steels have homogeneous structures without obvious band structure characteristics. As depicted in Fig. 1a–f, the microstructures of the three steels are mainly composed of a large amount of quasi-polygonal ferrite (QF) with a small amount of acicular ferrite (AF) and granular bainite (GB). Comparatively, the average grain sizes of steels 1–3 are ~1.2, ~1.3, and ~1.1 μm, respectively.

Fig. 1: Observations on microstructure.
figure 1

Optical microstructure of steels 1 (a), 2 (b), and 3 (c). SEM microstructures of experimental steels 1 (d), 2 (e), and 3 (f). RD means rolling direction, ND means normal direction.

Figure 2 displays the distributions of inclusions in the three test steels observed under a low magnification of SEM. Overall, the number of inclusions in steel 1 is small, and there is a chain-like distribution of inclusions along the rolling direction. Steel 2 has more inclusions than steel 1, with a certain number of visible irregularly shaped inclusions >5 μm. Steel 3 exhibits a significant presence of finely dispersed inclusions, characterized by larger inclusions that are smaller than those found in steel 2. These inclusions predominantly assume a spherical shape, contributing to the distinct composition of the steel. Based on the statistical histogram of inclusions depicted in Fig. 3, observed under SEM magnification of ×2000 with over 50 fields, it is evident that steel 1, featuring a Ti/Mg ratio of 0:1, harbors a greater number of Al–Ti–Mg–O–Mn–S complexed inclusions exceeding 3 μm compared to steels 2 and 3. Steel 2 has a certain number of Al–Ti–Mg–O–Mn–S compounded inclusions ranging in size from 1 to 3 μm. Steel 3 has a large number of Si–Al–Ti–Mg–O–Mn–S inclusions within 3 μm with a Ti/Mg addition ratio of 4:1, and the profile of inclusions is spherical as illustrated in Fig. 2, with a relatively uniform distribution and no obvious chain distribution characteristics.

Fig. 2: Macro distribution of inclusions.
figure 2

SEM morphologies of inclusions at low magnification in steels 1 (a), 2 (b), and 3 (c).

Fig. 3: Statistic results of inclusions.
figure 3

Distributions of inclusion types, sizes, and quantities in steels 1 (a), 2 (b), and 3 (c).

The typical inclusions found in steel 1, as depicted in Fig. 4a, have cores composed of stripes of Ti–Mn–O, which are surrounded by Si–Al–Mg–O–Mn–S compound oxide-sulfides. The sizes of these inclusions range from 1 to 5 μm, and some may even exceed 5 μm. The typical inclusions found in steel 2, as shown in Fig. 4b, contain quasi-spherical inclusions composed of Al–Mg–Ti–O and MnS, with a size range of 1–3 μm. The typical inclusions found in steel 3, with a Ti/Mg addition ratio of 4:1, have many Ti–Si–Mg–O–Mn–S inclusions within 3 μm; the profile of inclusions is spherical with a relatively uniform distribution and no obvious chain distribution characteristics.

Fig. 4: SEM and EDS analysis of typical inclusions.
figure 4

Typical inclusion in steels 1 (a), 2 (b), and 3 (c).

HIC evaluation

The results of the HIC evaluation of the experimental steels are presented in this section. The pH of the solution at the commencement of the immersion test is 2.73, and the pH of the solution at the conclusion is 3.82, which adheres to the requirements of solution pH as stipulated in the standard. According to NACE TM0284-2016, the HIC sensitivity qualification conditions of steel materials are CLR ≤ 15%, CTR ≤ 3%, and CSR ≤ 1.5%33. However, when hydrogen bubbles emerge on the surface of the sample in the HIC sensitivity test, the HIC performance of the sample is deemed unqualified as well33. Under the magnification of the optical microscope specified in the standard, as listed in Table 1, no internal cracks are observed in the three test steels, indicating that the HIC indexes of the three steels are 0.

Table 1 Results of HIC tests

Figure 5 shows the macro shoots of three steels after the HIC test. As shown in Fig. 5a, steel 1 exhibits low HIC sensitivity with no internal crack and surface blister. Additionally, steel 1 contains many inclusions, some of which are distributed in long chains. Despite the presence of numerous stripe-shaped inclusions in the steel, there is a considerable amount of 1–3 μm MnS and oxide-compounded inclusions, which are supposedly capable of dispersing hydrogen atoms and preventing their segregation34,35. For steel 2, when the Ti/Mg addition ratio is 2:1, hydrogen-induced blisters are observed on the material surface after the HIC immersion test, as shown in Figs. 5 and 6, due to the presence of large oxide inclusions. These large oxide inclusions act as hydrogen trappers and provide a place for hydrogen molecule formation. It is evident from Fig. 5b that there are obvious bubbles on the surface of steel 2, which are generally considered hydrogen-induced surface blisters. Additionally, there are a number of microcracks around the main blister crack (marked with red arrows) that are not visible under OM due to its magnification limitation. Figure 6 indicates that a microcrack adjacent to an inclusion is composed of Al–Mg–Mn–O with a size of ~5 μm. The EBSD (electron backscatter diffraction) analysis of local kernel average misorientation (KAM) on the crack field reveals high dislocation densities at the tips of the crack and the boundary of the inclusion36,37.

Fig. 5: Observations on samples after HIC test.
figure 5

Macro shoots of steels 1 (a), 2 (b), and 3 (c) after HIC test; and cross-sectional SEM morphology of the surface blister of steel 2 (d); statistic histogram of average number of blisters with size range in a single specimen of steel 2 (e); arrows in (c) marking the presence of microcracks.

Fig. 6: Inclusion-induced microcrack in steel 2.
figure 6

SEM photograph (a), KAM map (b), and EDS maps (c).

Hydrogen diffusion and hydrogen trapping

Analysis of Fig. 7 reveals that steel 2 is the first to reach the steady-state platform, followed by steel 1, and steel 3 is the last to reach the steady-state platform. This indicates that the hydrogen atoms in steel 3 need a longer time to reach the saturation state of internal hydrogen traps. The effective hydrogen diffusion coefficient, hydrogen diffusion flux, and cathodic hydrogen concentration were calculated according to the following formulas38,39,40:

$${D}_{{{\rm {eff}}}}=\frac{{L}^{2}}{{6t}_{0.63}}$$
(1)
$${J}_{\infty }=\frac{{I}_{\infty }}{{nF}}$$
(2)
$${C}_{0}=\frac{{J}_{\infty }L}{{D}_{{{\rm {eff}}}}}$$
(3)

where F is Faraday constant, n is charge transfer number, L is sample thickness, I is anode current, I is anode saturation current, t0.63 is lag time (I/I = 0.63), J is hydrogen diffusion flux, Deff is effective diffusion coefficient of hydrogen in steel, and C0 is hydrogen concentration at the cathode side of the sample40. The total hydrogen trap density NT in the sample can be obtained from the following formula41:

$${N}_{{\rm {T}}}=\frac{{C}_{0}}{3}\left(\frac{{D}_{{\rm {L}}}}{{D}_{{{\rm {eff}}}}}-1\right)$$
(4)

where DL is the diffusion coefficient of hydrogen in lattice sites of iron.

Fig. 7
figure 7

Hydrogen permeation transient curves of three steels.

Table 2 further demonstrates that steel 1 has the largest hydrogen diffusion coefficient, while steel 3 with a Ti/Mg ratio of 4:1 has the smallest. Additionally, the hydrogen trap density in steel 3 with a Ti/Mg ratio of 4:1 is the highest, reaching 5.24 × 1019 m−3. This is likely due to the presence of more inclusions in steel 3, which provide more hydrogen traps and impede the diffusion of hydrogen in the steel.

Table 2 Hydrogen diffusion coefficient and hydrogen trap density values of three experimental steels

Figure 8 illustrates the macro distribution of the reduced silver particles on the steel surface observed under SEM. As depicted in Fig. 8a and b, a significant number of silver particles are present both in the matrix and adjacent to the inclusions, indicating that the steel matrix and inclusions could act as hydrogen sinks. Conversely, in steel 3, the silver particles are more concentrated around the inclusions, and they are scarcely present in the matrix. This trend implies that the hydrogen permeation flux in steel 3 is impeded, leading to the segregation of more hydrogen atoms around the inclusions.

Fig. 8: SEM observations on samples after hydrogen microprinting treatment.
figure 8

Silver particle distribution of steels 1 (a), 2 (b), and 3 (c).

Observations on silver particles around the single inclusions were also conducted under SEM, as depicted in Fig. 9. It shows that a distinct silver particle is adjacent to the Ti–Mg–Al–O–Mn–S, indicating that there were Ag+ ions reduced by hydrogen. In the steel matrix next to the inclusion, there are numerous reduced Ag particles. This implies that the hydrogen in the matrix still accounts for a large proportion of the total hydrogen in the steel. In steel 2, a similar phenomenon is observed, with reduced Ag particles present in both the steel and matrix. In contrast, in steel 3, the Ag particles can almost only be seen at the boundary of the inclusions, and no distinct silver particles are observed in the steel matrix. Moreover, silver particles are clearly observed at various locations surrounding the inclusions, suggesting that the inclusions serve as multiple sites for trapping hydrogen.

Fig. 9: Morphology and EDS spectra of single inclusion after hydrogen microprinting treatment.
figure 9

Results of steels 1 (a), 2 (b), and 3 (c).

Figure 10 presents in-situ observations on the diffusion of hydrogen and the formation of hydrogen gas at the surface of steel. The results in Fig. 10b, e and h show that initial hydrogen bubbles were detected around the 11th minute in steel 1, while in steel 2 and 3, the initial hydrogen bubbles were observed at around the 18th and 21st minutes, respectively. This indicates a retardation of hydrogen diffusion flux, which was more pronounced in steel 3. This finding is consistent with previous electrical permeation test results. As the hydrogen charging process continued, as shown in Fig. 10c, f and i, there was an increase in the number of hydrogen bubbles on the surface of the steels. For instance, at ~15th minutes, there were ~62 hydrogen bubbles in steel 1, while in steel 2 and 3, the time to observe a massive emergence of hydrogen bubbles was ~25th minutes. Moreover, the analysis of the screenshots before and after the bubble formation revealed that in steel 1, the bubbles originated from sites with inclusions (marked with purple arrows), accounting for only 7–9% of the total number of bubbles. Conversely, in steel 2 and 3, the number of hydrogen bubbles was lower, and the bubbles associated with the inclusions (marked with purple arrows) accounted for 28–32% and 62–65% of the total number of bubbles, respectively. It is plausible to speculate that in steel, most of the hydrogen molecules are generated from defects in the steel matrix, such as micro-voids or other types of lower hydrogen bonding defects34,42,43. The inclusions in steel 3 play a significant role in hydrogen distribution and, to some extent, act as hydrogen homogenizers.

Fig. 10: In-situ observations on hydrogen bubbling from the surfaces of steels.
figure 10

Microscope screenshots of steels 1 (ac), 2 (df), 3 (gi); the circular entities depicted in (b), (e), and (h) correspond to the initial bubble formations observed within three distinct steel specimens; the directional indicators illustrated in (c), (f), and (i) symbolize the emanation of bubbles originating from the inclusion sites within the respective specimens.

Inclusions modification mechanism

Comparing the results of inclusions in steels with different Ti/Mg additions, when the addition of Ti is zero in steel 1, due to the strong deoxidation ability of Mg, it reacts with the original Al2O3 and TiO2 inclusions, and aggregate around the oxides of Ti. The low density of MgO (3.65 g/cm3) and the large contact angle between MgO and molten steel (θ = 125°) make it easy for the original MgO inclusions to form clusters and float in the molten steel, reducing the number of inclusions44. Furthermore, the low dissolved oxygen content around the inclusion that arises due to the close-to-equilibrium deoxidation process leads to relatively few secondary deoxidation inclusions formed during cooling and solidification, resulting in reduced inclusion sizes but numbers of nucleation inclusions. As a result, the number of inclusions within the size range of 1–3 μm accounts for a relatively lower proportion, and some of them are distributed in long strip chains, affecting the low-temperature impact toughness of the material; additionally, it is not conducive to the subsequent use of the material.

It is generally accepted that the growth rate of deoxidized inclusions is highly related to the content of dissolved oxygen23. The relatively high oxygen content in molten steel 2 increases the growth rate of deoxidized inclusions; thus, the sizes of inclusions in steel 2 with a Ti content of 0.0064 wt% are relatively larger than that of steel 3. In steel 3, when Ti/Mg is 4:1, a large number of primary TiO2 inclusions are generated after increasing the level of Ti deoxidization adding45,46. Due to the low interface energy between Ti deoxidized products and molten iron, this phenomenon increases the homogeneous nucleation rate and number of initial deoxidized inclusions. When the strong deoxidizer Mg is added for further deoxidation, the Mg element will undergo the following three reactions: (1) Mg deoxidizes to form MgO; (2) the reduction of TiO2 by Mg generates Mg–Ti–O inclusions; and (3) the Mg–Ti–O inclusions precipitate simultaneously, and the inclusions are small and do not easily float in the molten steel47. In addition, the addition of more deoxidizing elements in steel 3 leads to the low dissolved oxygen content in molten steel. The initial deoxidized inclusions are restrained from growing up in the Ostwald ripening mode, and the coarsening rate of deoxidized inclusions is delayed44. Therefore, the material has the largest number of inclusions, with a large proportion of sizes <1 μm, the inclusion size is small and the distribution is relatively uniform. In terms of controlling sulfides in steel, due to the strong reducibility of Ti and Mg elements at high temperatures, Mn can be replaced by oxides and combined with S atoms in liquid steel. Then, MnS nucleates and adsorbs around oxide inclusions, forming a semi core–shell structure, and inhibiting the aggregation and growth of MnS48,49.

Effects of inclusions on hydrogen redistribution and HIC resistance enhancement

Based on electrochemical tests conducted on steels 1 and 2, it is observed that these steels have a relatively higher diffusion coefficient and lower trap density values than steel 350,51,52. This phenomenon can be attributed to the presence of large inclusions in steel 3. However, it should be noted that coarse inclusions may not possess a good capture effect on hydrogen atoms and may even act as a hydrogen diffusion channel to potential hazard sites31. Additionally, the interfaces of most inclusions are either deep hydrogen traps or irreversible hydrogen traps per se53,54. The number of inclusions also reflects the density of hydrogen capturers29,30,31. When there are no efficient feasible irreversible hydrogen traps to mediate the hazard of mobile hydrogen atoms, cracks may occur7,16,55. As a result, significant amounts of hydrogen atoms may still exist in the matrix as reversible hydrogen, as evidenced by the Ag particle reductions shown in Fig. 8 and Fig. 9. The in-situ observations shown in Fig. 10 reveal that for the hydrogen escaping site-related defects in steels 1 and 2, only 7–9% and 28–32% of the total number of bubbles are correlated with the inclusions, respectively. This suggests that the hydrogen atoms in the steel matrix are not properly guided into the beneficial sites, making steels 1 and 2 increasingly vulnerable to HIC.

However, the situation in steel 3 is unique. The inclusions in steel 3 are finely dispersed, as shown in Fig. 2. The results of hydrogen silver microprinting, as depicted in Figs. 8 and 9, show that a single inclusion in steel 3 is capable of providing multiple hydrogen traps. The deduced outcomes of NT, as depicted in Table 2, serve to substantiate the proposed perspective. It is imperative to highlight that the absence of direct evidence for discerning between reversible and irreversible hydrogen entrapment, as observed in thermal desorption spectrometry (TDS) or comparable techniques8,29,30,37, does not undermine the rationality of the drawn conclusion. Consistent with our prior investigations, it is affirmed that dispersed inclusions and their interfacial regions act as proficient irreversible traps, effectively immobilizing mobile hydrogen atoms and thereby mitigating the susceptibility to hydrogen-induced cracking (HIC)29. Additionally, as illustrated in Fig. 10, in-situ hydrogen escape observations reveal that the increased quantity of inclusions not only plays a significant role in hydrogen trapping but also makes a significant difference in hydrogen redistribution to relieve local accumulation in steels, as illustrated in Fig. 11. When hydrogen atoms initially permeate the steel matrix, they tend to diffuse rapidly and gather swiftly around the inclusions, forming a region characterized by a high gradient of hydrogen concentration. This process is sustained with the further motion of hydrogen atoms. After hydrogen diffuses across the material, a channel of hydrogen migration tends to form under the sustained hydrogen charging process, linking the inclusions. On the outer surface of the material, the exposed inclusions (or defects) serve as hydrogen sinks, promoting the recombination of hydrogen atoms into molecules, as illustrated in Fig. 10 and further depicted in Fig. 11d. In the final stage of hydrogen penetration, the inclusions-chaining channel of hydrogen migration is closely associated with the distribution of inclusions. When inclusions are more dispersed and homogeneous within the matrix, the hydrogen concentration at individual inclusion sites is reduced, lowering the risk of HIC induced by inclusions.

Fig. 11: Schematic diagram of inclusions affecting hydrogen diffusion and redistribution.
figure 11

Initial stage of hydrogen diffusion (a), hydrogen diffusion influenced by inclusions (b, c), and final balanced stage of hydrogen diffusion (d).

The in-situ observations displayed in Fig. 10 indicate that over 60% of the total number of bubbles related to the hydrogen escaping sites in steel 3 are correlated to the presence of inclusions. These findings strongly support the aspect that finely dispersed inclusions in steel are capable of restoring hydrogen atoms and minimizing the number of reversible hydrogen atoms existing in shallow hydrogen traps, thus reducing the detrimental effects of hydrogen-containing environments on the steel. However, the more comprehensive effect of such modified inclusions should also be addressed. When considering the SEM and EDS maps of the inclusions in Fig. 4, it becomes apparent that inclusions with multipoint heterogeneous sulfide-oxide precipitation can accommodate more hydrogen traps. This finding suggests that a single inclusion has the capacity to trap more hydrogen atoms under multivariate metallurgical construction. Furthermore, the presence of numerous small-sized, multi-composited inclusions in steel 3 plays an important role in capturing and pinning a relatively high number of hydrogen atoms during the hydrogen permeation process, resulting in lower hydrogen diffusion coefficients and higher trap densities. Ultimately, this phenomenon promotes HIC resistance.

Lastly, it is imperative to note that, owing to the inherent limitations of optical microscopy (OM) and scanning electron microscopy (SEM), the in-situ hydrogen escape observation method and the microprint technique are unable to furnish information regarding the trapping effects of nanoscale precipitations, such as carbides or nitrides, on hydrogen atoms. While evidence of their trapping effects has been reported through techniques like atom probe tomography (APT)56 and scanning Kelvin probe force microscopy (SKPFM)57, the question of whether these precipitations can serve as sites for the accumulation and molecular production of hydrogen atoms remains ripe for further exploration.

In summary, the experimental pipeline steel was produced using the innovative Ti–Mg composite inclusion modification process. The internal inclusions and microstructures of the tested steel, obtained through varying Ti/Mg addition ratios, were meticulously analyzed and discussed. A correlation between the inclusions and hydrogen migration in steels has been discussed. The outcomes of our investigation can be summarized as follows:

(1) The steel with a Ti/Mg addition ratio of 4:1 exhibits improved HIC resistance. The higher Ti addition reduces the oxygen concentration in the molten steel, resulting in more finely dispersed particles. Eventually, sulfides nucleate and adsorb around oxides, resulting in the inclusions with a multivariable metallurgical structure.

(2) The presence of multivariate metallurgical construction inclusions allows for the redistribution of hydrogen atoms. These inclusions have the ability to serve as various sites for hydrogen trapping. Additionally, the inclusions can decrease the amount of solution hydrogen in the steel matrix that is available to be trapped by the multicomponent interfaces of the inclusions.

(3) The presence of inclusions in steel has a significant impact on the manner in which hydrogen moves and spreads within the material. The interfaces between inclusions and the steel matrix act as locations where hydrogen atoms get trapped and released. When there are insufficient sites for releasing, the hydrogen atoms accumulate and create localized pressure. This pressure then leads to the formation of tiny voids and eventually cracks. Employing the in-situ observation method for investigation can facilitate the development of a rapid assessment of the HIC sensitivity of steel materials.

Methods

Materials

The designed chemical composition of the experimental steel was based on the framework of X70 pipeline steel, as shown in Table 3. The preparation of the test steel was completed in a pilot plant. The main steps and parameters of the rolling process included heating the steel ingot to 1250 °C and holding it at this temperature for ~2.5 h; the roughing and finishing temperatures were ~1000 °C, the finishing and starting temperatures were ~940 °C and the finishing and finishing temperatures were ~880 °C. After the steel plate was rolled, water was sprayed in the two-phase zone of 700–850 °C for proper and rapid cooling. When the steel plate had cooled to 600 °C, the spraying of water was stopped, and the plate was placed on a stand for air cooling.

Table 3 Chemical composition of experimental steels (wt%)

Microstructure observations

The observed sample was first wire-cut into dimensions of 20 × 20 × 20 mm, with the observed surface being parallel to the plane of RDND (RD, rolling direction, ND, normal direction) in the longitudinal section at a distance of 1/4 the width from the rolled plate. The surface of the sample was grounded with abrasive papers and mechanically polished. Subsequently, a metallographic microscope (Zeiss Axioplan 2), scanning electron microscope (FEI Nova Nano 400), and other equipment were used for the observations. For grain size measurement, the standard-based transection method of grain size measurement58 was applied. For inclusion statistics, 50 effective fields of view were randomly selected under ×2000 magnification through scanning electron microscopy and energy spectrum analyses. The equivalent radius, number, and composition values of inclusions were recorded. The sample for the EBSD observation was first mechanically polished, followed by treatment with the Argon ion polishing equipment GATAN PECS II Model 685.

HIC tests

The HIC evaluation tests were conducted according to the NACE TM0284-2016 standard33. The samples were first cut into the dimensions of 20 × 100 × T (thickness of steel sheet) mm, and all the faces of the specimen were then ground with abrasive papers and finished with 320 grids. The NACE A solution with a composition of 5% NaCl + 0.5% CH3COOH + 94.5% H2O was applied. Prior to the emersion test, the solution was distilled with high-purity nitrogen for 1 h, followed by induction with high-purity H2S gas (99.9%). During the induction of H2S gas, the feed rate was set to 200 mL L−1 min−1 for the first 60 min to ensure a quick saturation of H2S gas, followed by a feed rate of 100 mL L−1 min−1 to maintain the saturation of H2S for 95 h. After the HIC test, the samples were taken out and the corrosion products on the surface of the soaked sample were removed, then each tested sample was cut into three parts. The observation surface of the cut sample was ground, polished, observed, and photographed under an optical microscope (magnification of ×100), and the crack length a and width b were counted. In statistics, cracks with an interval of <0.5 mm were regarded as the same crack, and cracks seen when magnified ×100 under the optical microscope were included. The crack length ratio (CLR), width ratio (CTR), and sensitivity ratio (CSR) were calculated according to formulas (5)–(7). To further observe the change in the internal microstructure of the test steel after the HIC immersion test, the internal cracks of the sample were observed by an optical microscope and scanning electron microscopy.

$${{\rm {CLR}}}=\frac{\sum a}{W}\times 100 \%$$
(5)
$${{\rm {CTR}}}=\frac{\sum b}{T}\times 100 \%$$
(6)
$${{\rm {CSR}}}=\frac{\sum \left(a\times b\right)}{W\times T}\times 100 \%$$
(7)

where a is the crack length; b is the crack thickness; W is the section width of the specimen; and T is specimen thickness.

Electrochemical hydrogen permeation

The hydrogen permeation experiment was conducted using the modified Devanathan–Stachursky double electrolytic cell, in accordance with the ASTM G148-97 (2018) standard59. The specimens were extracted from the rolled sheet along the RDND plane, measuring 25 × 30 × (1 ± 0.02) mm in dimensions. Subsequently, they underwent double-face polishing and were securely positioned between the cathode and anode chambers, establishing an effective hydrogen charging area of 1 cm2. The anode chamber was equipped with a three-electrode system, with a calomel electrode serving as the reference electrode, a platinum electrode serving as the auxiliary electrode, and the sample serving as the working electrode. The three electrodes were connected to the CHI 660A electrochemical workstation via wires. The anode chamber was filled with 0.1 mol/L NaOH solution, and N2 was continuously introduced for 2 h to remove dissolved oxygen in the solution. Subsequently, the control anode potential was set to +250 mVSCE, and when the current density at the back bottom of the anode side decreased to 0.1 μA/cm2, the cathode side started to apply a hydrogen charging current of 10 mA/cm2 to the sample in the solution containing 0.5 mol/L H2SO4 and 0.2 g/L thiourea. The electrochemical hydrogen permeation curve was obtained by recording the oxidation current at the anode side with the electrochemical workstation. To ensure the reliability of the experimental data, each sample was subjected to at least three hydrogen permeation experiments under the same conditions, and the data curve closest to the average value was selected.

Hydrogen silver microprint technique

The specimen employed in the silver microprint experiment was precisely sectioned to dimensions of 25 × 30 mm parallel to the plane of RDND, exhibiting a thickness of 1 ± 0.02 mm. The surfaces designated for silver reduction underwent a polishing process to achieve a mirror finish. The silver microprint technique is based on the following redox reaction between absorbed hydrogen atoms and silver ions60, Ag+ + [H] → Ag + H+. In this work, a hydrogen microprinting solution and a fixing solution were utilized in the process of the hydrogen microprinting experiment. The hydrogen microprinting solution was composed of 10 g AgBr nuclear emulsion and 1.4 mol/L sodium nitrite, which was hidden from light during configuration to prevent any adverse effects on the subsequent experiments. The fixing solution is a mixture of 0.6 mol/L sodium thiosulfate and 1.4 mol/L sodium nitrite. After the solutions were prepared, the sample was pre-charged with hydrogen in a water bath pan set at a temperature of 60 °C in the same solution as introduced in the section on electrochemical hydrogen permeation. The hydrogen charging current density was set at 20 mA/cm2, and the charging time was limited to 60 min to avoid damaging the sample. Subsequently, the sample was placed in the hydrogen microprint solution for 30 min; then, it underwent 30 min of ultrasonic vibration (UV) in the microprint solution and 20 min of UV in the fixing solution. Finally, the sample was rinsed with alcohol and stored in a drying dish. The samples were repeated at least three times to avoid potential interference from experimental errors, and the results closest to the mean were selected for discussion and analysis.

In-situ hydrogen escape observation

The specimen utilized in the in-situ hydrogen escaping experiment was meticulously sectioned to dimensions measuring 25 × 30 mm parallel to the plane of RDND, with a thickness of 1 ± 0.02 mm. The in-situ hydrogen escaping from the surface of steel observation was observed using an optical microscope combined with the electrochemical hydrogen charging35. A schematic diagram of the testing device is shown in Fig. 12. During the experiment, the sample was placed between the bottom opening and the glass slide of the hydrogen charging chamber. Glycerol was attached when the glass slide contacted the surface of the sample, and the sample was bonded with the hydrogen charging chamber through silica gel. The magnification used in the observations was ×100. The hydrogen charging solution was a mixture of 0.5 mol/L H2SO4 and 0.2 g/L thiourea, and the current density of electrochemical hydrogen charging was 20 mA/cm². The effective hydrogen permeation area was 1 cm². In order to eliminate interference from experimental errors, samples were repeated three times at least and the results closest to the mean were selected for discussion and analysis.

Fig. 12: Schematic illustration of the device for In-situ hydrogen escape observation.
figure 12

The 3D presentation of the device’s assembling (a), illustration of capturing glycerol hydrogen bubbling (b).