2.2. Analysis

Coupons were investigated using a scanning field emission electron microscope (FEM) from Zeiss (SUPRA 55VP, Carl Zeiss Micro-Imaging, GmpH, Gottingen) and integrated Auger NanoProbe (PHI-710) systems equipped with energy-dispersive X-ray (EDX)and electron backscatter diffraction (EBSD) analysis. Corrosion products were analyzed before they were removed; results of these will be published elsewhere; here we focus on the surface morphology beneath the deposits, which was analyzed after the corrosion deposits were removed by dipping the corroded surface into an acidic solution known as Clarke solution [11] [47] [48] for 5 seconds followed by a rinse with Nanopure water and drying with dry nitrogen. The Clarke solution was prepared according to ASTM standards by adding 3.5 g of hexamethylenetetramine to 1000 mL of 6 M HCL (HPLC grade) [47] [48] . In this manuscript we focus on the role of the metallurgy in localized corrosion. For this reason the spatial distribution of the manganese sulfide inclusions throughout the steel matrix is of great interest. We developed a scheme for mapping and counting MnS inclusions in the 1018 carbon steel coupons and report on their concentrations. It is important to emphasize here that the geometry of the MnS inclusions is highly asymmetric: they appear as stringers having lengths of hundreds of microns along the rolling direction of the steel bars but widths of a micron or less in the planes perpendicular to the rolling direction. These are sometimes referred to as MnS stringers in the literature. On close examination these stringers turned out to be very complex phases, and we address these issues in our future publication elsewhere. These stringers are formed during the hot rolling process after molten steel is left to solidify as explained in the Introduction. Because MnS is highly deformable, the stringers are formed during the hot rolling process, when the steel is still in the austenitic (γ-Fe) phase [12] [16] [18] [20] .

3. Results and Discussions

3.1. Mapping Residual Strain

The localized residual strain left from the metallurgical history of a metal can be assessed by investigating the EBSD image of a clean 1018 coupon surface to demonstrate the degree of lattice-preferred orientation of adjacent grains and sub-grains, as shown in Figure 3. Panel A shows the Auger nanoprobe secondary electron image of a 10 × 10 μm2 region of a 1018 coupon. Panel B shows the Auger nanoprobe orientation image of area A, but the sample is tilted by 70˚.

Figure 3. (A) Auger nanoprobe field emission secondary electron image of a 1018 coupon. (B) Auger nanoprobe EBSD orientation image shown in (A) but tilted by 70 degrees. (C) EBSD misorientation image generated from orientation image in (B). The sample was prepared by cutting the coupon perpendicular to the rolling axis of the rod and polishing to a 30 - 50 nm finish. (D) Orientation color legend associated with the image in (B) and misorientation color band associated with the image in (C). Indicated are MnS inclusions, pearlite bands and ferrite grains. Black represents unresolved points, indicating a region of high disorder. The misorientation map shows the locations of residual strain generated during the metallurgical preparation of the steel and hence of potential anodic sites. Shades of blue in ferrite grains and the colors green and red at defect sites indicate degrees of misorientation at these locations.

Various microstructures are marked in this panel including MnS inclusions, cementite phase, and ferrite grains. Panel C shows the EBSD misorientation image of the lattice-preferred orientation of grain aggregates generated from the orientation image in B, where misorientations of grains of up to 5˚ are mapped. There is a direct relation between the misorientation and the strain of the metal which can be correlated [5] [49] . In Panel D of Figure 3 we show the color correlations (legends) associated with the orientation indices (panel B) and misorientation angles of the grains (panel C). The sample was prepared by cutting the coupon perpendicular to the rolling direction of the rod and polishing to a 30 - 50 nm finish. Dark colors represent unresolved points, indicating a high degree of disorder. In principle a single grain should have a single solid color associated with a known orientation. The misorientation map shows the locations which have high residual strain [5] [49] and are potential anodic sites. It appears that the immediate surroundings of the MnS inclusions and the pearlite grains are highly strained and that these areas play a major role in localized corrosion [5] as well as in the overall corrosion of carbon steel that eventually leads to disastrous failures in real-life applications. Misorientation maps have the potential to predict the locations of pitting corrosion before carbon steel is exposed to corrosive environments. Considering the detrimental role MnS inclusions play in localized corrosion it is instructive to determine their statistical distribution on 1018 carbon steel surfaces. This is presented next.

3.2. Distribution of MnS Inclusions

The FEM investigation of clean, polished coupon surfaces illustrates the major microstructures of interest in this study. FEM images of coupons cut parallel (right) and perpendicular (left) to the rolling direction are given in Figure 4. The perpendicular-cut sample was prepared the same as the parallel-cut sample as described above, but additionally was treated with Nitol in order to enhance the surface microstructures of interest. Nitol was used here only to emphasize these microstructures; it was not used on any other coupons that were subjected to the biocorrosive environment. In the image (left panel in Figure 4), the cross sections of the MnS stringers appear small (≤1-μm diameter) on the surface. Pearlite bands and grain boundaries are also clearly visible. The parallel-cut coupon was prepared by polishing to a 30 - 50 nm finish, following the procedure described above. This surface was not subjected to Nitol treatment to prevent etching of the MnS inclusions. As explained above, the microstructures of MnS inclusions and pearlite bands were stretched along the rolling direction of the steel rod. MnS appeared as long stringers stretching for hundreds of microns along the rolling direction, illustrating that the inclusions were long, pervasive features permeating throughout the material. Repeated investigation of 1018 carbon steel coupons using FEM in conjunction with EDX analysis gave the researchers familiarity with the appearance of the various mineral inclusions (MnS and others), so that they could be easily located and identified on surfaces. FEM imaging using low-energy primary electrons of 1 keV (as in the left panel in Figure 4) show the MnS inclusions with dark rings around them. These dark rings are where the Nitol preferentially corroded the surface, leaving dark, shallow trenches in the boundary region between the inclusion and the surrounding iron matrix. Similarly, FEM imaging with an accelerating voltage of 20 kV, as in the case of the parallel-cut sample shown on the right in Figure 4, show the MnS inclusions as long, dark lines. Grain boundaries and bands of pearlite were ubiquitous throughout the steel, as seen in the perpendicular-cut sample. Without the Nitol treatment, these features were not as obvious in the FEM of polished clean surfaces.

The spatial distribution of MnS inclusions on 1018 coupons, cut and polished parallel and perpendicular to the rolling direction, was investigated using FEM imaging. The clean steel surface was treated with Clarke solution (pH~1), which dissolved the MnS inclusions while leaving the rest of the steel surface unaffected [11] . This treatment left a distinct and easily recognizable depression of 30 - 50 nm wherever there was a MnS inclusion whose top was dissolved away. These

Figure 4. FEM images of clean carbon steel surfaces cut and polished perpendicular (left) and parallel (right) to the rolling axis of the rod. The image in the left panel was produced with a 1-kV accelerating voltage and etching with Nitol; the one in the right panel, with a 20-kV accelerating voltage. Examples of individual ferrite crystalline grains, MnS inclusions, a grain boundary, and pearlite grains are indicated.

depressions (holes) appear as highly contrasted dark spots against a light background in the FEM image over a range of accelerating voltages between 1 and 20 keV. MnS inclusions on perpendicular-cut samples appear as spots from less than a half to a few microns wide. On parallel-cut samples they appear as long stringers up to a few microns wide but hundreds of microns in length. In both cases images were taken in a grid pattern with FEM. We observed that the density of inclusions increased towards the outer edge of a coupon relative to the central region, which is in agreement with the literature [50] . The results presented here correspond to the overall average of all MnS inclusions.

On the parallel-cut sample, 125 fields of view (FOVs) were analyzed. These FOVs were distributed over a 5 × 25 grid in which rows of 25 images (lined up perpendicular to the rolling direction) were taken from 5 columns lined up along the rolling direction of the rod. Each image was taken at 1500× magnification and measured 170.8 microns along the rolling direction and 250.0 microns perpendicular to the rolling direction; in total they covered an area of 5.3 mm2. The FOVs on the surface cut and polished perpendicular to the rolling direction were taken 300 microns apart, while the FOVs associated with the coupons cut and polished along the rolling direction were taken 2 mm apart. This was to ensure that the same long MnS stringers were not counted multiple times among different FOVs. On the perpendicular-cut sample, 512 images were taken on a grid measuring 16 rows by 32 columns. Each image was taken at 5000× magnification and measured 75.3 by 46.0 microns, for a total analyzed area of 1.8 mm2.

The images were further processed in a Matlab program in which the MnS inclusions in a given FOV were identified and the Cartesian coordinates registered with the aid of the user. In the case of a perpendicular-cut sample, the MnS inclusions were identified and their locations entered into the program. This was done for each FOV, and a list of the coordinates of all inclusions was compiled. In the case of a parallel-cut sample, we assumed that the entire length of the inclusion was not necessarily visible in the surface plane of the sample. Therefore, we aligned the FOV such that the stringers ran parallel to the y-axis in the FEM images and identified just the x-coordinate of the inclusion stringer. This was done for each FOV, and the list of coordinates of all inclusions was compiled. The accuracy of our visual identification was confirmed for a given coupon by performing an EDX analysis before the treatment with Clarke solution and comparing the results with those of visual inspection after the treatment. In this way the operator becomes familiar with these features and learns to identify them rapidly and accurately from their morphological signature in perpendicular- and parallel-cut samples in which inclusions are more or less the only features besides pearlite grains found on a polished surface.

The number of inclusions counted per FOV image in the perpendicular-cut sample is given as a histogram in Figure 5. The x-axis gives the number of MnS inclusions counted per FOV, and the y-axis gives the fraction of the 512 images for which that number of stringer tips was found. The average was found to be 12 ± 6 inclusions per FOV image. This means a square mm area of 1018 carbon steel cut perpendicular to the rolling direction has on the average ~3400 inclusions, or each inclusion on the average occupies a ~17 × 17 μm2 area.

In the case of the parallel-cut samples, the pertinent metric to describe the spatial distribution of the MnS inclusion stringers is the distance (perpendicular to the rolling direction, or x-distance) between closest neighboring inclusions. A histogram of the distances between closest neighboring inclusion pairs is shown in Figure 6 (top). This distribution is compared with the histogram of closest paired MnS stringer tips compiled from the data associated with the surfaces cut and polished perpendicular to the rolling direction, also shown in Figure 6 (bottom). The maximum distance considered between pairs was chosen to match the size of the FOV utilized for the perpendicular-cut sample. This corresponds to a diagonal length of 88 µm for the FOV images of the surface cut perpendicular to the rolling axis. Overall it was found that on average an inclusion stringer is within ~18 ± 16 µm of another inclusion stringer.

Figure 5. Histogram of the number of MnS stringer tips found per field of view (FOV) compiled from 512 images taken from a sample cut perpendicular to the rolling direction of the rod. The area of a single FOV was 3463.9 µm2. The x-axis gives the number of MnS stringer tips, and the y-axis gives the percentage of images found with that number of stringer tips exposed.

Figure 6. Histogram of distances between nearest neighbor pairs (both perpendicular- and parallel-cut surfaces) as a fraction of total number of pairs per range of distance. Each bin on the x-axis is 4 µm wide. The two distributions are very similar, as expected.

The exponential decaying manner of the distribution in Figure 6 suggests that inclusion stringers were more often in tight groups than spread far apart. Figure 7 shows one of many FEM FOV images used to create the histogram for the parallel-cut coupons shown in Figure 6 (top). Here the channels left by dissolved MnS stringers appear as dark lines, while bands of pearlite stand out as white islands in the otherwise grey ferrite metal grains. Figure 7 shows that MnS stringers appeared to be often, but not always, localized along pearlite bands (Type A in Figure 7) and that in regions lacking in pearlite, stringers were observed less often (Type B in Figure 7). This reflects the difference between zones of the metal that possessed a high density of crystallographic disorder, or residual strain, and those that were more or less pure Fe grains, which were less strained. These highly strained ferrite zones will be more susceptible to localized corrosive attack and will serve as sacrificial anodes relative to the unstrained ferrite grains. This is a new view of corrosion, in which the anodic and cathodic sites on carbon steel are predetermined by its metallurgical history.

When pits are generated around adjacent MnS inclusions, they grow as deep tunnels burrowing down below the surface and they grow in radius [3] [4] . If the distance between two inclusions is within this pit radius, they will connect and coalesce. At a certain critical pit radius, pits combine to form a larger pit. We hypothesize that this average critical micro-pit radius is correlated to the average distance between inclusions. In the perpendicular-cut sample this average distance was found to be 14 ± 12 μm. In the parallel-cut sample the average distance was 18 ± 16 μm. We have more reliable statistics for the perpendicularly prepared surface because of its large sample size relative to the parallel-cut surface, for which statistics were gathered in only one dimension. It is, therefore, hypothesized that the critical average pit radius for the enhanced macro-pitting transition to occur is around 10 - 20 μm.

3.3. Localized Corrosion

When samples were removed from the corrosion reactors as described in Figure 2, the surfaces of the samples were covered with corrosion products, as shown in Figure 8. The surface illustrated in Figure 8 was exposed to a suboxic/sulfidogenic environment as described above for ~50 days. A Cu70Ni30 alloy was coexposed with the carbon steel to simulate the pipes in Naval fuel tanks. The inset in Figure 8 shows an EDX spectrum obtained from the corrosion products. The S associated with the corrosion products, mostly FeS, was in sulfide form (S−2) as confirmed by the XPS analysis. Because FeS is a conductive mineral it provides electrically conducting pathways from the carbon steel surface to the cathodic reactants (O2, H+, HS) on the surface of corrosion products hence increasing the reach of cathodic processes and the rate of corrosions. The Cu and Ni signature in the EDX spectrum is due to corrosion products originating from the CuNi coupon (Figure 2). After the sample was removed, rinsed with Nanopure water and dried with dry nitrogen, it was analyzed using FEM. A large pit was obvious, but most of the other pits were obscured by thick corrosion deposits. In order to assess where the metal was eroding relative to any MnS inclusions, grain boundaries, and pearlite grains, as discussed above, the corrosion deposits on most of the surfaces were removed by dipping the corroded coupons into Clarke solution for a brief period (~5 s) before they were analyzed using FEM. On all the corroded coupons reported here, regardless of the corrosive environment, we observed excess localized corrosion in the immediate vicinity of MnS inclusions, in ferrite lamellae of pearlite bands and at many of the grain boundaries.

Once the corrosion products were removed, it became clear that the surface that was initially smooth to a 30 - 50 nm finish had become riddled with pits and crevices due to accelerated corrosion in these regions. We found that these regions were relatively predictable, based on the microstructures formed during the metallurgical preparation of the carbon steel. This is shown in Figure 9, where the localized corrosion is seen to follow the strained regions of the ferrite lattice. These areas include the pearlite bands and their surroundings, the grain boundaries between ferrite grains, and the immediate surroundings of MnS inclusions, all of which are shown in Figure 9. What is even more important is that where these microstructures intersected and co-located at specific points on the coupon surface, the rate of corrosion increased drastically with the density of lattice defects and dislocations, which made these locations more anodic than the unstrained regions of the ferrite grains and therefore more susceptible to localized corrosive attack.

Figure 7. FEM image of pearlite bands (light regions) and elongated MnS stringers in a parallel-cut 1018 coupon. The sample was prepared by polishing to a 30 - 50 nm finish and then treating for five seconds with Clarke solution to dissolve the MnS inclusions exposed on the surface. The locations of MnS stringers appear in FEM images as dark lines. Pearlite appears as light regions in the slightly darker ferrite matrix. MnS inclusions were observed in the regions of high pearlite concentration (Type A regions) and were mostly absent in regions of pure ferrite (Type B regions). The Type A regions were highly strained compared to the Type B regions.

Figure 8. FEM image of a corrosion pit and its surroundings covered with corrosion products after 50 days of exposure to the suboxic/sulfidogenic environment described in the text. The inset shows an EDX spectrum identifying some of the corrosion products. The morphological features of the underlying metal are obscured by the corrosion deposits. These features were revealed by cleaning off the deposits by dipping the corroded surface briefly (~5 s) into Clarke solution.

Figure 9. FEM image of corroded 1018 coupon cut perpendicular to the rolling direction after corrosion products were removed using Clarke solution. The sample was exposed to a suboxic/sulfidogenic environment for 50 days. Indicated are (A) pearlite, (B) a MnS stringer protruding from the pit, and (C) grain boundaries with accelerated corrosion in the boundary region. The inset is an EDX spectrum taken from the tip of the MnS inclusion. A zoomed-in view of the MnS inclusion is shown in Figure 10.

The localized corrosion around MnS inclusions grew deeper and wider as it tunneled down beneath the sample surface along the length of the MnS stringers as reported in our previous work [3] [4] and illustrated in Figure 10: the inset in the right-hand corner of Figure 10 shows two EDX spectra, colored blue and yellow. The blue spectrum was taken from point A, while the yellow one was taken from the bottom of the pit at point B. The pit depth (~6 μm) was determined using the methodology reported in our earlier publication [4] . It is possible to see inside the pit, as long as it is not too deep, using contrast adjusted secondary electron imaging, as shown in the inset in the lower right-hand corner of Figure 10.

Analogous results may be seen in the case of coupons cut parallel to the rolling direction. Stringers exposed on the polished surface during the initial stages of corrosion produced excess corrosion along the entire length of their sides, as illustrated in Figure 11. The degree and severity of the corrosion depended on the local surroundings of the MnS inclusion. The surface in Figure 11 was exposed to the suboxic environment produced by anaerobe Marinobacter; the environment was not sulfidogenic. The presence of H2S in solution exacerbated localized corrosion. An example of this is shown in the inset in the upper right corner of Figure 11. The surface associated with the inset image was exposed to a suboxic/sulfidogenic environment. Notice also that although the corrosion was initiated locally around the MnS inclusion, the presence of H2S created localized pitting at the ferrite grain in the form of trenches and pits. This creates a positive

Figure 10. FEM image of the MnS stringer marked in Figure 9 and its surroundings. The surface was cut and polished perpendicular to the rolling direction, and corrosion products were removed using Clarke solution. The sample was exposed to the suboxic/sulfidogenic environment for 50 days. Marked are the MnS stringer sticking out of the pit and points A and B, from which the EDX spectra shown in the inset (upper right-hand corner) were taken to determine the pit depth (~6 µm). The inset in the lower right corner is a backscattered contrast-adjusted image of the pit, where one can see the bottom of the pit. Such MnS inclusions eventually dissolve and produce localized H2S and S as the acidity of the pit increases.

Figure 11. FEM image of a corroded 1018 coupon cut parallel to the rolling direction. The sample was exposed to a suboxic environment generated by Marinobacter in unfiltered San Diego seawater with 5 mL of JP5 fuel on top for 33 days and stripped in Clarke solution for approximately 5 seconds. Indicated are (A) a MnS stringer along the rolling direction with excess corrosion at the boundary and an EDX spectrum from a point on the MnS inclusion, (B) a corrosion pit growing in a region where pearlite and a grain boundary are co-located, (C) a pearlite band along the rolling direction, and (D) a stringer which broke because of stress release when the iron matrix no longer supported the MnS stringer.

feedback mechanism for local corrosion: as H2S/S is released, facilitating a cathodic process in the immediate surface area of the ferrite grains near the ferrite/MnS interface, and as the surface area of the ferrite is exposed, we hypothesize that the hydrolysis of Fe-ions in the region acidifies the local surroundings of the MnS stringer, which causes dissolution of MnS inclusions, causing the release of H2S/S abiotically, which then fuels the localized corrosion. It is important to emphasize here that pit initiation and pit growth are two entirely different electrochemical processes. Pit growth depends on whether or not there are highly strained regions in the area to generate and sustain a localized low pH level due to the hydrolysis of Fe+2, +3 ions [3] [4] .

A broken MnS stringer, something that was commonly observed, is seen in the inset in Figure 11. When the immediate surroundings of a MnS stringer were corroded and etched away, a great amount of stress was released by the loss of ferrite matrix holding the stringer in place. The two ends of the break point separated and in some cases were no longer aligned after the MnS stringer assumed a less stressed configuration without the surrounding ferrite matrix holding it in place.

The density of lattice defects in the ferrite matrix increased in zones where pearlite and MnS inclusions intersected each other. The result was excessive localized corrosion. An example is given in Figure 12, where a pearlite grain appears to be co-located with a MnS inclusion that was initially buried under the surface. This coupon was cut and polished parallel to the rolling direction, from left to right. Notice that the pit initiated around a pearlite grain on the surface exposed the MnS inclusion below the surface to the corrosive environment. Subsequently the localized corrosion followed the MnS inclusion under the surface, creating a hole around the stringer and burrowing into the metal along the stringer. The corrosive environment was suboxic without any sulfate-reducing bacteria in the medium. Our observations point to the fundamental corrosion processes taking place in these systems, which do not depend upon the presence of sulfate-reducing bacteria (SRBs). Regardless of the particular corroding medium, the corrosion initiates and grows where there is strain in the iron lattice. Even though the corrosion illustrated in Figure 12 was not initiated by a sulfidogenic environment, the fact that dissolved MnS releases abiotic H2S into the local environment of a pit means that the immediate surroundings of MnS inclusions become sulfidogenic abiotically, giving rise to accelerated corrosion within these deep, long, narrow regions.

Many factors accelerate or slow down the progress of corrosion; however, the metal is most susceptible to corrosion at anodic sides that preexisted on the surface because of the metallurgical preparation of the metal. Regardless of the environment (suboxic or suboxic/sulfidogenic) the corrosion always initiates at and grows from these defect sites.

Figure 13 illustrates another corrosion trench on a surface cut and polished parallel to the rolling direction. This time the corrosion was initiated along a grain boundary. Notice at the point marked A that there is a broken line of structure extending along the trench. When analyzed with EDX, this line of

Figure 12. FEM image of a pit generated in and around a pearlite grain. This is the same surface as that shown in Figure 11, but a different region. The inset shows an EDX spectrum taken from a MnS inclusion exposed at the bottom of the pit, as marked. Notice the beginning of the hole around the MnS inclusion underneath the surface and extending along the MnS stringer.

Figure 13. Excess corrosion at grain boundaries on a 1018 coupon surface. Indicated in the center is (A) a cementite lamella lined up with a grain boundary. EDX analysis at point A shows a nearly pure Fe signature. Also indicated are (B) examples of Marinobacter cells left behind, (C) grain boundary corrosion with no pearlite in the region, and (D) corrosion at grain boundaries and around pearlite grains. The sample was cut and polished parallel to the rolling direction and exposed for 33 days to the suboxic environment created by Marinobacter activity in San Diego Bay seawater.

structure gave a signature of nearly pure Fe. This was most likely a cementite lamella localized along the grain boundary; EDX is not very sensitive to a C signature. In a corrosive environment, individual grains will etch out at different rates depending on the local density of lattice imperfections and differences in the orientation of the grains at grain boundaries. The particular grain boundary marked A in Figure 13 apparently intersected a pearlite grain, and it was one of the Fe3C lamellae running along the interface which caused the excess lattice strain in this region that resulted in enhanced localized corrosion. In this figure, we also notice a multitude of other grain boundaries exhibiting excessive localized corrosion which have pearlite grains nearby. These are marked D in the figure. Other grain boundaries, marked C in the figure, corroded at an accelerated rate without the nearby presence of pearlite or MnS inclusions.

Although this manuscript is not focused on distinguishing between suboxic and suboxic/sulfidogenic corrosion processes, it is worthwhile to mention some differences we have noticed. Figure 13 shows the morphology of a corroded surface exposed to the suboxic environment of Marinobacter for 33 days, and Figure 14 shows a similarly corroded surface exposed to the suboxic/sulfidogenic environment of Marinobacter/D. indonensiensis for 50 days. The morphology of the surface in Figure 14 is qualitatively similar to that shown in Figure 13, but there are noticeable differences between the two surfaces, principally that the localized attack was much more severe in the case of suboxic/sulfidogenic exposure. Comparing the scale bars in Figure 13 and Figure 14, one observes that suboxic/sulfidogenic exposure gave rise to deeper, wider localized corrosion pits and crevices. The corrosion was initiated at strained areas in both cases, with and without biotically produced sulfide, but it became more severe in the system with SRBs. In Figure 14 the majority of grain boundaries are not corroded, but some near pearlite grains or MnS stringers are severely etched away. These are marked with circles in the figure. This differs from the results in Figure 9 (sulfidogenic/suboxic exposure, perpendicular cut) which show all grain boundaries being preferentially etched relative to the bulk iron. As mentioned above, coupons of CuNi alloy were corroded alongside the 1018 coupons (Figure 2) in these experiments, and their corrosion was investigated as well. We noticed that in the case of corrosion in a suboxic/sulfidogenic environment, substantial dissolution of the CuNi resulted in the deposition of Cu and Ni corrosion products on the 1018 coupon surfaces (see inset in Figure 8). Only very limited, if any, corrosion of the CuNi alloy was observed in suboxic corrosive environments. Work on the corrosion products of CuNi and carbon steel will be published elsewhere.

4. Conclusions

The most important conclusion of this work is that the inhomogeneous distribution of strained and unstrained regions left behind by the metallurgy gives rise to an inhomogeneous distribution of a large number of micro-sized galvanic cells which, in a corrosive environment, cause the initiation and growth of localized corrosion. In what follows an expanded version of this idea is described. Figure 15 summarizes our conclusions. It compares a pure Fe coupon (99.995% purity) (bottom) and a 1018 carbon steel coupon (top) that were corroded simultaneously under the same experimental conditions; the coupons were cut and polished perpendicular to the rolling direction and exposed to the same suboxic/sulfidogenic environment for 170 days. Notice that at the scale shown there are a large number of localized corrosion pits on the 1018 coupon, whereas there is hardly any localized corrosion on the pure Fe coupon. Deep crevices and holes exist on the 1018 coupon around pearlite features, and many of them contain MnS inclusions at their deepest points. With the exception of grain boundaries, pure Fe does not possess many of the localized defects, such as MnS inclusions or pearlite bands, that are abundantly present in 1018 carbon steel. Furthermore, this was not galvanic protection of pure Fe, for we have observed a lack of localized corrosion on pure Fe in many instances where pure Fe was co-exposed with a carbon steel coupon to a corrosive environment without physical contact with similar results.

Therefore, the only localized corrosion in the case of pure Fe is expected to be along the grain boundaries; we see such corrosion locally upon closer inspection.

Figure 14. FEM image of accelerated corrosion around a MnS inclusion on a 1018 coupon surface cut parallel to the rod axis. The sample was corroded for 50 days in a Marinobacter/D. indonensiensis mixture in unfiltered San Diego seawater and 5 mL of JP5 fuel. The coupon was glued back to back to another 1018 coupon and corroded alongside a CuNi coupon. Corrosion products were removed by briefly immersing the coupon in Clarke solution. The inset shows an EDX spectrum taken from a MnS stringer as marked. The entire length of the inclusion is outlined by a box. Locations of grain boundary corrosion near pearlite grains are shown in circles. Notice also the excess corrosion at locations where broken MnS, pearlite grains and ferrite iron were co-located.

Figure 15. FEM images of corroded surfaces of a 1018 coupon (top) and a pure iron coupon (bottom), both cut perpendicular to the rolling direction, that were glued together back to back and corroded under identical suboxic/sulfidogenic conditions for 170 days in the presence of Marinobacter/D. indonensiensis in artificial seawater (Widdel medium) with JP5 fuel on top. The reason we used a pure Fe is that pure Fe does not have MnS inclusions and pearlite grains, which we claim is where most strains occur and most localized corrosion starts and propagates. Thus, theregions of accelerated corrosion are obvious as deep pits in the 1018 sample, but virtually nonexistent in the pure iron sample.

This comparison greatly clarifies the message that it is the defects and imperfections in the lattice of carbon steel that create anodic sites susceptible to corrosive attack. These defects are lacking in pure Fe, and therefore the availability of anodic sites and severity of corrosion are limited. The corrosive environment does not control whether or where corrosion initiates, although this does control the rate and reactive pathway of corrosion. Metallurgical history plays a major role in determining where corrosion initiates. This forces us to formulate a new view of corrosion that considers the residual strain due to defects, imperfections, and mineral inclusions generated in the ferrite matrix as a result of the metallurgical preparation and alloying of the steel. The metallurgical history of steel leaves behind a distribution of strained and unstrained regions at the microscopic scale, this predetermines the locations of micro scale galvanic cells. The localized areas where the ferrite lattice is strained, depending on the density of dislocations and lattice defects, are the natural anodic sites. These are distributed within the Fe lattice in sizes ranging from the nano- to the microscale. The areas of the lattice that are not strained and are mostly intact without a high density of dislocations are the cathodic sites of the carbon steel. In this new view of corrosion the strained areas of the carbon steel act as sacrificial anodes for the unstrained regions of the same steel. The corrosion potential differences between the anodic and cathodic sites of the carbon steel can be calculated by means of the mechanochemistry approach introduced by Gutman many decades ago [51] , and these can be compared quantitatively with the experimental measurements mentioned here.

This new view of the corrosion of metals can be summarized as the volume of a metal being full of anodic and cathodic sites distributed with nano- and microscale separations. We hypothesize that this not only is true for carbon steel but is a fundamental fact that plays an important role in all metallic corrosion. In the case of low-carbon steels (1018 in particular), we identify these anodic sites as having high densities of dislocations in the immediate surroundings of MnS inclusions with a surface density of ~3400 MnS stringers per mm2, pearlite grains, and grain boundaries. Just as important is the fact that the magnitude of these anodic potential differences increases logarithmically with the density of dislocations [51] , while the corrosion current density increases exponentially with the anodic potential differences. We further predict that if a metallic sample is highly strained but fairly uniform, these materials will be lacking localized galvanic coupling and will behave similarly to the unstrained pure metal with low density of pitting corrosion. We expect researchers and engineers will pay more attention to the metallurgical treatment of the alloys as they assess their corrosion properties.


This work is supported by ONR Multidisciplinary University Research Initiative (MURI) grant N00014-10-1-0946. The work is also supported in part by Montana State University funds supporting the Imaging and Chemical Analysis Laboratory (ICAL). The authors would like to acknowledge J. Martin for his contribution on dissolved oxygen measurements, L. Loetterle for her contribution to the microbiological aspects of this work, Prof. I. Beech of now Montana State University for providing and advising us on the Marinobacter cultures and CuNi alloys, members of Prof. J. Suflita’s group at the University of Oklahoma for their help in providing and advising on San Diego Bay and Key West seawater, and L. Avci for her English editing. The help of L. Kellerman and N. Equall of ICAL in SEM analysis is greatly appreciated.

Conflicts of Interest

The authors declare no conflicts of interest.


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