Abstract
Transformation induced plasticity (TRIP) leads to enhancements in ductility in low stacking fault energy (SFE) alloys, however to achieve an unconventional increase in strength simultaneously, there must be barriers to dislocation motion. While stacking faults (SFs) contribute to strengthening by impeding dislocation motion, the contribution of SF strengthening to work hardening during deformation is not well understood; as compared to dislocation slip, twinning induced plasticity (TWIP) and TRIP. Thus, we used in-situ neutron diffraction to correlate SF strengthening to work hardening behavior in a low SFE Fe40Mn20Cr15Co20Si5 (at%) high entropy alloy, SFE ~ 6.31 mJ m−2. Cooperative activation of multiple mechanisms was indicated by increases in SF strengthening and γ-f.c.c. → ε-h.c.p. transformation leading to a simultaneous increase in strength and ductility. The present study demonstrates the application of in-situ, neutron or X-ray, diffraction techniques to correlating SF strengthening to work hardening.
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Introduction
Stacking faults (SFs) formed in metals and alloys are important to their deformation behavior and mechanical properties1,2,3. In face-centered cubic (FCC) metals, SFs are interruptions in the perfect (ABCABC) sequential layering of the (111) crystallographic planes, formed by either dissociation of a perfect dislocation into two partial dislocations, or by emission of partial dislocations from grain boundaries4. Typically the width of SFs are measured using weak beam-dark field diffraction in the transmission electron microscope (TEM)5,6,7,8, however SFs have also been resolved using electron contrast channel imaging (ECCI) in the scanning electron microscope (SEM)9,10,11,12.
Beside the SF width, other characteristic structural dimensions such as the interspacing between two SFs, i.e. SF interspacing (LSF), have been measured using X-ray diffraction (XRD)13. Importantly, the spacing between SFs has been correlated with increases in strength enhancement in various alloy systems. Stacking fault strengthening (σSF) was studied in hexagonal close-packed (HCP) Mg14,15 alloys, FCC Cu-Al alloys16 and FCC Co alloys13 using TEM and XRD. These studies showed that the decrease in LSF corresponded to an increase in yield strength due to SF-dislocation interactions. Closely spaced SF arrays contribute to strengthening by acting as barriers to dislocation motion, similar to other stable boundaries. For example, Galindo-Nava et al.17 suggested that deformation would also result in a decrease in twin interspacing, which was supported by ex-situ measurements using TEM. However, stacking fault strengthening has received relatively less attention as compared to slip, twinning-(TWIP) and transformation-induced plasticity (TRIP). While changes in SF dimensions have been predicted18, to the best of the authors’ knowledge, direct experimental evidence of deformation-induced decreases in SF interspacing, and thus SF strengthening, by an in-situ observation has not been reported. Consequently, there is a gap in the understanding of how SFs contribute to enhanced work hardenability during deformation. While TRIP lead to improvement in ductility, the simultaneous strengthening would require alternate approaches to impeding dislocation motion19. Thus, understanding how the activation of SF strengthening alongside TRIP contributes to overcoming the conventional strength-ductility paradigm becomes pertinent to design of advanced structural alloys.
This understanding gap likely stems from challenges in measuring SF dimensions, i.e. width or interspacing, in a specimen of a size that work hardening behavior can be simultaneously measured and correlated with deformation mechanisms. These two specimen types differ in size by orders of magnitude. For instance, SFs typically are characterized using the transmission electron microscope which requires electron transparency to avoid attenuation, less than 100 nm thick20. On the other hand, samples greater than 1 mm thick are often used in research to correlate deformation mechanisms to work hardening response due to the effects of grain size to thickness ratio on hardening behavior21,22. This difference can be overcome in in-situ experiments which use high energy X-rays or neutron. Nonetheless, the number of studies which correlate the SF strengthening deformation mechanism to work hardening behavior using in-situ approaches of this type are limited.
Recently a number of studies have investigated low SFE high entropy alloys using in-situ neutron diffraction, demonstrating the ability to relate macroscopic stress–strain response with multiple deformation mechanisms5,23,24,25,26,27,28. Thus, to gain a better understanding of the deformation behavior in both phases, the strengthening in the γ-f.c.c. phase by SFs was evaluated using in situ neutron diffraction in the present study. Contrary to thinner specimens typically required to study SFs, bulk tensile specimens (~ 135 mm3 gauge volume) of the metastable Fe40Mn20Cr15Co20Si5 (in at%) HEA specimen were deformed on the VULCAN neutron diffractometer29 at the Spallation Neutron Source (SNS) at Oak Ridge National Laboratory. The activation of SF strengthening and transformation induced plasticity (TRIP) clearly provided real-time evidence of their cooperative behavior and contributions to simultaneous enhancement of strength and ductility. While the relationship between SF strengthening and SF interspacing was previously established13,14,15, we use in-situ neutron diffraction to capture this phenomenon in real time for the first time and demonstrate the combined importance of activating multiple deformation mechanisms to overcoming the strength-ductility tradeoff.
Results and discussion
The microstructures for both conditions prior to deformation are presented in Fig. 1a,b. The AC condition exhibited coarse grains larger than 100 µm, with martensitic laths observed throughout the microstructure, while the AC + FSP condition was significantly grain refined. Following casting and FSP, both FCC and HCP peaks were identified using neutron diffraction, Fig. 1c,d and Fig. S1 in the supplementary document for direct grain size comparison to AC. However, micrographs revealed the formation of Si-rich particles following casting, Fig. 1a. With the formation of these Si particles, depletion of Si in the matrix is likely, the stacking fault energy of the matrix would be expected to increase23. To investigate the Si content, energy dispersive X-ray spectroscopy (EDS) maps for AC and AC + FSP are shown in the supplementary document, Figs. S2 and S3, respectively. The measured Si content was observed to be lower than the nominal value in the AC condition, however upon FSP the Si content in the matrix increased suggesting dissolution of the Si-rich phase occurred during FSP. To evaluate the content further, atom probe tomography (APT) was used to further evaluate the spatial distribution of elements in the AC + FSP condition. Uniquely, APT has the ability to measure and visualize the composition and distribution of elements in three dimensions. The mass spectra and ion map are shown in Fig. 1e1–e3 and Fig. 1e4, respectively. Ions of each of the constituent elements in the alloy were captured and are represented in their cumulative total in the plots. Considering the aim to determine the Si content, it is important to mention that lower fractions of Si (73%) and Mn (76%) relative to the observation by APT (details in the Table S1 in the supplementary document). It is expected that the measured fractions are due to the effects of field ion evaporation, and that the actual fractions of each are similar to EDS results. Discrepancies in measured content by APT have been reported for Si30 and Mn31 ions in both steels and HEAs and have been discussed in further detail in the supplementary document, Fig. S4.
Aside from the measured alloying content, significant microstructural refinement was observed in the AC + FSP condition, resulting in both a reduction in the size of the Si-rich particles and an average grain size of 6 µm. The refinement and dissolution observed was owing to severe plastic deformation during FSP, which also led to a change in texture and phase proportions captured by neutron diffraction. Prior to deformation, diffraction patterns for each condition revealed dual phase γ-f.c.c. and ε-h.c.p. microstructures in Fig. 1c,d, denoted by {hkl} and {hk.l}, respectively. Comparing AC to AC + FSP, significant changes in peak intensity were observed following FSP. For example, the changes in intensity of the ε-h.c.p. {10.1} and {00.2} were observed, where the intensity of the {00.2} peak decreased significantly after FSP. The observed decrease demonstrated the effect of high strain and strain rates during FSP on the volume of grain orientations captured by neutron diffraction23,32. Additionally, the {10.1} peak was not observed in the AC condition whereas it was clearly captured after FSP as a result of severe plastic deformation at high temperatures. In line with this, the intensity of the γ-f.c.c. peaks changed indicated by the variation in peak when comparing both specimens. Specifically, the comparison of normalized peak intensities, by comparing the I220/I111 in both conditions, showed that along with grain refinement, FSP increased the fraction of {220} grains captured. In addition, we were also able to resolve the higher multiplicity peaks γ-f.c.c. peaks, such as {222} and {111} pair, to measure the lattice spacings, d222 and d111, respectively. While lattice spacing is typically used to determine lattice strain during in-situ experiments, the lattice spacing can be visualized in the unit cell to understand the faulting behavior in the present discussion.
The tensile stress–strain responses of the AC and AC + FSP conditions were captured during in-situ neutron diffraction experiments. Comparing the two tensile curves (Fig. 2a), FSP led to a substantial increase in strength and ductility. In previous studies on metastable HEAs exhibited dynamic stress partitioning between phases leading to activation of ε-h.c.p. related mechanisms and delayed activation of TRIP23,33. As we hypothesized that SFs contribute prior to the onset of transformation, we probed the changes in lattice spacing to determine the contribution of σSF.
The deformation-induced increases in lattice spacings were investigated as a function of applied stress to evaluate the contribution of SFs to overall strengthening. Thus, the anisotropic deformation response between d222 and d111 in the low SFE γ-f.c.c. phase suggested faulting was captured in real-time. Faulting was observed by the differences in the evolution of lattice strain for d222 and d111 in each plot, understood by Eq. 1, which are considered to be crystallographically equivalent34. In the absence of anisotropy, the lattice spacing of the {222} is expected to be 50% of the {111} for the γ-f.c.c. unit cell, (inset of Fig. 2b) based on Eq. 1:
where d and a are the lattice spacing and lattice constant, whereas together h, k, and l denote the set of crystallographic planes. For instance, taking a γ-f.c.c. lattice constant of 3.60 Å the calculated d for the {111} and {222} planes are determined to be 2.078 Å and 1.039 Å, respectively.
In Fig. 2b,c, the ordinate axis for the {222} (right axis) is 50% of that for {111} (left axis). Considering that the axis is scaled to half, the lattice spacing as a function of applied stress would be expected to overlap based on Eq. 1, and the lack of overlap would indicate faulting. The observed anisotropy confirmed the occurrence of faulting. Furthermore, comparing the AC and AC + FSP conditions it is apparent that the initial lattice spacings were different for different processing conditions. It is suspected that this is a result of the different processing paths, as strain and temperatures in FSP are significantly different from those experienced during casting and quenching. This change in structure resulting from the combined effects of strain and temperature have also been observed in other low SFE Fe-based shape memory alloys in previous studies35. It is known that both strain and temperature will affect the structure. Recent studies demonstrated that processing or tensile deformation can lead to changes in both lattice constants a and peak broadening23,36.
Consistent with the expectation based on previous studies23,36, during tensile deformation, both conditions exhibited increases in lattice spacings. Importantly, the differences in the evolution of lattice spacing support the idea that the LSF would behave differently in response to deformation. Prior to deformation, we also observed a large difference in LSF by comparing AC and AC + FSP conditions (Fig. 3a). The difference in initial LSF likely was related to severe plastic deformation imposed during FSP, leading to the formation of a high density of faults. During tensile deformation, initially the decrease in LSF as a function of applied stress was relatively intense (Fig. 3a). The decrease in LSF slowed, marked by a change in slope approaching plastic deformation. The AC + FSP condition also exhibited a similar decreasing response, although a more delayed decrease was observed. Interestingly, at the later stages of plastic deformation, the change in SF interspacing reaches saturation, around ~ 10 nm. This interspacing was similar to that observed in the case of both Mg alloys and Co alloys previously discussed, ~ 16 nm14 and ~ 10 nm13, respectively. The implications of these results confirm that SF spacing decreases not only during elastic deformation but also could contribute to strengthening during plastic deformation.
As plastic deformation continued, the evolution of LSF was investigated. With increasing applied stress, both conditions reached the lowest LSF observed (Fig. 3a). This was clearly the case for AC, which exhibited a decrease to ~ 50 nm; while the AC + FSP condition decreased to ~ 10 nm. The plateau of SF interspacing was expected to be related to the onset of transformation or, more specifically, arrays of faults accumulated with spacing and critical dimensions sufficient to have been detected as HCP martensite during neutron diffraction. To further correlate the decrease in SF interspacing with the onset of transformation, we evaluated the intensity changes related to transformation, as a function of applied stress. Figure 3b shows the changes in intensity for the γ-f.c.c. {200} and ε-h.c.p. {10.1} orientations; i.e., the orientation that provides the first indication of strain-induced transformation in metastable HEAs. Strain-induced transformation was observed by the decrease in {200} intensity and the subsequent increase in {10.1} intensity. Alongside the gradual decrease in {200} intensity, a plateau in the decrease in SF interspacing coincided with the increase of the intensity of {10.1} (Fig. 3a,b). Interestingly, the plateau occurred at different LSF for both AC and AC + FSP specimens. This observation suggests that the average value of SF interspacing did not govern the formation of HCP martensite, but instead independently decreased until the onset of transformation. For the strain-induced γ-f.c.c. → ε-h.c.p. transformation, SFs are well-known to be precursors to the formation of ε-h.c.p. martensite; i.e., a critical number of faults align to form arrays with a critical size and interspacing to be detected as ε-h.c.p.17. The onset of transformation or twinning have been associated with relieving excess stress concentrations due to dislocation pile ups17. The stress relief with activation of transformation can explain the plateau in SF interspacing observed in the present study. As shown schematically in Fig. 3c, faults are detected and observed to decrease in the γ-f.c.c. phase of the alloy. The three stages describe the behavior of LSF. In stage I, LSF exhibited a steady decrease with increasing applied stress, while the transformation behavior at each instance can be observed in Fig. 3b. At stage II, or point II, the plateau of LSF begins which is indicated by the circle. In stage III, the decrease in LSF is relatively lower although it occurs alongside the γ-f.c.c. → ε-h.c.p. transformation. As deformation occurred, the density of faults increased with increasing applied stress. Considering two faults were present initially, understandably, the nucleation of a new fault between the two existing faults would have resulted in the observed decrease in SF interspacing. The changes in SF interspacing during plastic deformation are evaluated to understand the contribution of SFs to work hardening behavior.
To understand the origins of the observed increases in strength and ductility, Fig. 4 correlates the work hardening response to both SF strengthening and transformation. Figures 4a,b show the work hardening behavior of the metastable Fe40Mn20Cr15Co20Si5. While multiple mechanisms are activated during deformation23, we investigated the co-activation of SF strengthening and transformation to correlate observed enhancements of work hardening. Sustained work hardening rate (θ) of around ~ 3000 MPa was observed in AC + FSP, whereas AC exhibited a more rapid decrease. The red regions highlight the sustained σSF and increasing transformation correlated with changes in θ. Additional details for determining kSF, in order to determine σSF, are given in the supplementary document Fig. S6. Interestingly, the σSF and the γ-f.c.c. → ε-h.c.p. transformation were observed to be related to the work hardening behavior, comparing Figs. 4a,f. The σSF for both conditions are presented in Fig. 4c,e. During the initial stages of deformation, the contribution of SFs increased, up to ~ 50 and ~ 250 MPa for AC and AC + FSP, respectively. The strengthening contribution measured was similar to FCC Co-based alloy, up to ~ 500 MPa for yield strength of about 1200 MPa13. It is important to mention that in previous studies of SF strengthening in HCP Mg and FCC Co alloys, no TRIP was present, and the increase of strength corresponded to a decrease in ductility. In the present study, the AC condition exhibited SF strengthening and a relatively lower fraction of transformation, Fig. S5, which can explain the lower ductility. The cooperative activation of deformation mechanisms in the present study was evidenced by increases in σSF and the subsequent onset of transformation. The σSF initially increased while the {10.1} intensity (the γ-f.c.c. → ε-h.c.p. transformation) exhibited no change, Fig. 4c,e.
During plastic deformation, both mechanisms are active, indicated by the sustained σSF and continuously increasing {10.1} intensity result in overcoming the strength-ductility compromise. The cooperative behavior observed during plastic deformation was likely related to complex stress partitioning and stress relief on SFs enabled by the onset of TRIP17. The enhanced work hardenability can be explained by the cooperation of multiple deformation mechanisms during straining23,33. SF strengthening was sustained and the {10.1} intensity was observed to increase in unison. The sustained contribution of SFs originates from the ability to impede dislocation with fine interspacing. Regions highlighted in red indicate sustained/increasing work hardening rate was observed. To further demonstrate the implications of co-activation of the two mechanisms, Fig. 5 compares the strength-ductility combinations of alloys which undergo either SF strengthening or TRIP, with the present Fe40Mn20Cr15Co20Si5 HEA where both deformation modes were observed to occur simultaneously. The Mg and Co alloys undergo stacking fault strengthening in the absence of TRIP which resulted in a decrease in ductility with the increase in strength. Similarly, a decrease in ductility was observed for TRIP steels that exhibited the strain-induced austenite to α martensite phase transformation. However, it is important to note that SFs would have also formed in the TRIP steels. In the present study, we observed that less transformation corresponded to less ductility (by comparison of fractured AC and AC + FSP conditions). Based on these results, it would be expected that SFs would have contributed to strengthening in TRIP steels, while transformed fraction would have been decreasing with the increase in strength. This question requires additional research to draw any conclusions regarding comparisons of TRIP HEAs with TRIP steels. Nonetheless, the observations from previous studies and the comparison of ductility in the AC and AC + FSP conditions suggest that the contributions of both SF strengthening and TRIP are important to enabling the synergistic increase in strength and ductility in metastable HEAs.
Conclusions
In-situ neutron diffraction was used to quantify stacking fault strengthening and reveal the onset of the γ-f.c.c. → ε-h.c.p. transformation in a metastable Fe40Mn20Cr15Co20Si5 high entropy alloy. First, the present study demonstrates the application of in situ diffraction techniques for real-time quantification of SF strengthening in low stacking fault energy metals and alloys. Our results show that in-situ neutron diffraction can be used to measure the interspacing between SFs, LSF, during deformation in real-time. The LSF decreased with increasing tensile deformation, to ~ 50 nm and ~ 10 nm in cast (AC) and friction stir processed (AC + FSP) conditions, respectively. SF strengthening contributions of 50 MPa and 250 MPa were determined for AC and AC + FSP conditions, respectively. The changes in LSF and σSF indicate that stacking faults also contribute to strengthening during plastic deformation alongside other mechanisms. Further, the results reveal that the decay in SF interspacing slows with the onset of γ-f.c.c. → ε-h.c.p. transformation. Along with recent studies highlighting the importance of stress partitioning, a relatively low transformation was observed to correspond with a lack of ductility in the AC condition. The present results demonstrate that in addition to the contribution of grain size, initial ε-h.c.p. phase fraction, the presence of precipitate phases and mechanical twins, the γ-f.c.c. → ε-h.c.p. phase transformation being accompanied by the stacking fault strengthening deformation mode is also important to attaining simultaneous increases in both strength and ductility.
Methods
The Fe40Mn20Cr15Co20Si5 alloy was cast in a vacuum induction furnace with pure metals to achieve nominal compositions, henceforth the as-cast condition (AC). The cast plate 300 × 100 × 6 mm was subjected to friction stir processing (FSP) for microstructural refinement, henceforth denoted as AC + FSP. A tungsten-rhenium tool used for processing with a shoulder diameter of 12 mm, and pin geometry consisted of root diameter, distal tip diameter, and length of the tool of 7.5 mm, 6 mm, and 3.5 mm, respectively. Tool rotation rate was 350 rotations per minute (RPM), and traverse speed was 50.8 mm/min. To characterize the extent of microstructural refinement following processing, optical microscopy was carried out on both conditions. For secondary electron (SE) images a FEI Quanta 3D FEG microscope (FEI Company, Hillsboro, Oregon) was operated at 20 kV to investigate the microstructures of both AC and AC + FSP conditions. The Quanta microscope used for imaging was a dual beam scanning electron microscope/focused ion beam (SEM/FIB) and was also used for atom probe tomography (APT) needle preparation using the FIB lift-out method39,40. APT was carried out using the CAMECA LEAP 4000 XHR equipped with an ultraviolet wavelength laser, 355 nm. Temperature, pulse rate, detection rate, and pulse energy were 60 K, 125 kHz, 0.003 detected ions/pulse detection rate and 60 pJ, respectively. The analysis chamber pressure was kept at ~ 2 × 10–11 Torr. The LEAP used here has a detector efficiency of ~ 36%. Reconstruction of APT data was carried out in CAMECA’s Integrated Visualization and Analysis Software (IVAS) version 3.8.2 for determination of composition, visualization of ion maps and subsequent analysis of the spatial distribution of elements.
The use of neutron diffraction was selected for the present study due to the penetration depth of neutrons and resolution power of crystallographically equivalent high order peaks. Tensile specimens were deformed on the VULCAN neutron diffractometer29,41 at the Spallation Neutron Source (SNS) at the Oak Ridge National Laboratory. A detailed description of the tensile loading procedures has been provided in prior work23,33. Thus, data reduction after experiments was done and analysis was performed using VDRIVE software42. In VDRIVE, single-peak fitting was carried out, where the peak profile function is a convolution of the back-to-back exponentials with the pseudo-Voigt function. Thus, single peak fitting was used to determine both lattice spacing and integrated intensities for various family of grains.
In time-of-flight neutron diffraction, deformation induced changes in the lattice spacing, dhkl, of families of grains, for example {111} and {222}, in polycrystalline materials are measured. The change in lattice spacing is used to determine lattice strain in a particular family of grains εhkl:
Equation 2 can be incorporated into the lattice strain evolution of crystallographically equivalent {111} and {222} families of grains34. Using the changes in lattice strain for each, the stacking fault probability can be determined using the relationship between PSF and lattice strain, given by,
The term \(\frac{{\mathop \sum \nolimits_{{\text{b}}} \left( { \pm {\text{L}}_{0} } \right)}}{{{\text{h}}_{0}^{2} \left( {{\text{u}} + {\text{b}}} \right)}}\) is determined by crystallographic orientations selected as detailed in2,34 The {111} and {222} orientation values of + 1/4 and − 1/8, respectively, as reported, give rise to the following simplified expression relating lattice strain and PSF,
The interspacing between SFs can be determined by analyzing changes in lattice spacing. The interspacing between SFs was determined by measurement of the d111 and the PSF, given by the following relationship13:
The SF strengthening, σSF, is proportional 1/LSF13, thus as the SF interspacing decreases σSF increases. The strengthening coefficient, kSF, is determined by the slope of the 1/LSF versus yield strength plot, see supplementary Fig. S5. The σSF contribution can then be determined as a function of LSF in real-time by13,14,15:
References
Hirth, J. P., Lothe, J. & Mura, T. Theory of Dislocations (2nd ed.). J. Appl. Mech. (1983). https://doi.org/10.1115/1.3167075
Warren, B. E. X-Ray Diffraction. (1990).
Smallman, R. E. & Bishop, R. J. Modern Physical Metallurgy and Materials Engineering Science, process, applications (Butterworth Heinemann, Oxford, 1999).
Hunter, A. & Beyerlein, I. J. Stacking fault emission from grain boundaries: material dependencies and grain size effects. Mater. Sci. Eng. A 600, 200–210 (2014).
Liu, S. F. et al. Transformation-reinforced high-entropy alloys with superior mechanical properties via tailoring stacking fault energy. J. Alloys Compd. 792, 444–455 (2019).
Liu, S. F. et al. Stacking fault energy of face-centered-cubic high entropy alloys. Intermetallics 93, 269–273 (2018).
Ding, Q. et al. Tuning element distribution, structure and properties by composition in high-entropy alloys. Nature 574, 223–227 (2019).
Chen, S. et al. Real-time observations of TRIP-induced ultrahigh strain hardening in a dual-phase CrMnFeCoNi high-entropy alloy. Nat. Commun. 11, 1–8 (2020).
Zaefferer, S. & Elhami, N. N. Theory and application of electron channelling contrast imaging under controlled diffraction conditions. Acta Mater. 75, 20–50 (2014).
Nakafuji, K., Koyama, M. & Tsuzaki, K. In-Situ Electron Channeling Contrast Imaging under Tensile Loading: Residual Stress, Dislocation Motion, and Slip Line Formation. Sci. Rep. 10 (2020).
Wang, M., Li, Z. & Raabe, D. In-situ SEM observation of phase transformation and twinning mechanisms in an interstitial high-entropy alloy. Acta Mater. 147, 236–246 (2018).
Li, Z., Tasan, C. C., Springer, H., Gault, B. & Raabe, D. Interstitial atoms enable joint twinning and transformation induced plasticity in strong and ductile high-entropy alloys. Sci. Rep. 7 (2017).
Yamanaka, K., Mori, M., Sato, S. & Chiba, A. Stacking-fault strengthening of biomedical Co-Cr-Mo alloy via multipass thermomechanical processing. Sci. Rep. 7 (2017).
Jian, W. W. et al. Ultrastrong Mg alloy via nano-spaced stacking faults. Mater. Res. Lett. 1, 61–66 (2013).
Jian, W. W., Cheng, G. M., Xu, W. Z., Koch, C. C., Wang, Q. D., Zhu, Y. T. & Mathaudhu, S. N. Physics and model of strengthening by parallel stacking faults. Appl. Phys. Lett. 103 (2013).
Tian, Y. Z., Zhao, L. J., Chen, S., Shibata, A., Zhang, Z. F. & Tsuji, N. Significant contribution of stacking faults to the strain hardening behavior of Cu-15%Al alloy with different grain sizes. Sci. Rep. 6 (2015).
Galindo-Nava, E. I. & Rivera-Díaz-del-Castillo, P. E. J. Understanding martensite and twin formation in austenitic steels: a model describing TRIP and TWIP effects. Acta Mater. 128, 120–134 (2017).
Xie, Q. et al. Transition from the twinning induced plasticity to the γ-ε transformation induced plasticity in a high manganese steel. Acta Mater. 161, 273–284 (2018).
Seetharaman, V. Deformation and martensitic transformation. Bull. Mater. Sci. https://doi.org/10.1007/BF02743999 (1984).
Wang, F., Zhang, H. B., Cao, M., Nishi, R. & Takaoka, A. Determination of the linear attenuation range of electron transmission through film specimens. Micron 41, 769–774 (2010).
Cai, M. H. et al. Dependence of deformation behavior on grain size and strain rate in an ultrahigh strength-ductile Mn-based TRIP alloy. Mater. Sci. Eng. A 653, 35–42 (2016).
Miyazaki, S., Shibata, K. & Fujita, H. Effect of specimen thickness on mechanical properties of polycrystalline aggregates with various grain sizes. Acta Metall. 27, 855–862 (1979).
Frank, M., Chen, Y., Nene, S. S., Sinha, S., Liu, K., An, K. & Mishra, R. S. Investigating the deformation mechanisms of a highly metastable high entropy alloy using in-situ neutron diffraction. Mater. Today Commun. 23 (2020).
Liu, T., Gao, Y., Bei, H. & An, K. In situ neutron diffraction study on tensile deformation behavior of carbon-strengthened CoCrFeMnNi high-entropy alloys at room and elevated temperatures. J. Mater. Res. 33, 3192–3203 (2018).
Kim, G. et al. First-principles and machine learning predictions of elasticity in severely lattice-distorted high-entropy alloys with experimental validation. Acta Mater. 181, 124–138 (2019).
Shi, Y., Li, S., Lee, T. L., Hui, X., Zhang, Z., Li, R., Zhang, M., Kabra, S. & Wang, Y. D. In situ neutron diffraction study of a new type of stress-induced confined martensitic transformation in Fe22Co20Ni19Cr20Mn12Al7 high-entropy alloy. Mater. Sci. Eng. A 771 (2020).
Cai, B. et al. Deformation mechanisms of Mo alloyed FeCoCrNi high entropy alloy: In situ neutron diffraction. Acta Mater. 127, 471–480 (2017).
Naeem, M., He, H., Zhang, F., Huang, H., Harjo, S., Kawasaki, T., Wang, B., Lan, S., Wu, Z., Wang, F., Wu, Y., Lu, Z., Zhang, Z., Liu, C. T. & Wang, X. L. Cooperative deformation in high-entropy alloys at ultralow temperatures. Sci. Adv. 6 (2020).
An, K. et al. First in situ lattice strains measurements under load at VULCAN. Metall. Mater. Trans. A Phys. Metall. Mater. Sci. 42, 95–99 (2011).
Gault, B., Danoix, F., Hoummada, K., Mangelinck, D. & Leitner, H. Impact of directional walk on atom probe microanalysis. Ultramicroscopy 113, 182–191 (2012).
Schuh, B. et al. Mechanical properties, microstructure and thermal stability of a nanocrystalline CoCrFeMnNi high-entropy alloy after severe plastic deformation. Acta Mater. 96, 258–268 (2015).
Nene, S. S. et al. Reversed strength-ductility relationship in microstructurally flexible high entropy alloy. Scr. Mater. 154, 163–167 (2018).
Fu, S. et al. Deformation mechanisms and work-hardening behavior of transformation-induced plasticity high entropy alloys by in -situ neutron diffraction. Mater. Res. Lett. 6, 620–626 (2018).
Kang, M., Woo, W., Lee, Y. K. & Seong, B. S. Neutron diffraction analysis of stacking fault energy in Fe-18Mn-2Al-0.6C twinning-induced plasticity steels. Mater. Lett. 76, 93–95 (2012).
Nascimento-Borges, F. C. Iron based shape memory alloys: mechanical and structural properties, shape memory alloys—processing characterization and applications. Shape Mem. Alloys Process. Charact. Appl. https://doi.org/10.5772/51877 (2013).
Sinha, S. et al. On the evolving nature of c/a ratio in a hexagonal close-packed epsilon martensite phase in transformative high entropy alloys. Sci. Rep. 9, 1–14 (2019).
Zhu, K., Mager, C. & Huang, M. Effect of substitution of Si by Al on the microstructure and mechanical properties of bainitic transformation-induced plasticity steels. J. Mater. Sci. Technol. 33, 1475–1486 (2017).
Zhao, J. L., Xi, Y., Shi, W. & Li, L. Microstructure and mechanical properties of high manganese TRIP steel. J. Iron Steel Res. Int. 19, 57–62 (2012).
Thompson, K. et al. In situ site-specific specimen preparation for atom probe tomography. Ultramicroscopy 107, 131–139 (2007).
Devaraj, A. et al. Three-dimensional nanoscale characterisation of materials by atom probe tomography. Int. Mater. Rev. 63, 68–101 (2018).
An, K., Chen, Y. & Stoica, A. D. VULCAN: A “hammer” for high-temperature materials research. MRS Bull. 44, 878–885 (2019).
An, K. VDRIVE Data Reduction and Interactive Visualization Software for Event Mode Neutron Diffraction, ORNL Report. (2012).
Acknowledgements
The present work was performed under a cooperative agreement between the Army Research Laboratory (ARL) and the University of North Texas (W911NF-18-2-0067). The authors thank the Environmental and Molecular Science Laboratory (EMSL) for providing access to the atom probe tomography (APT) and microscopy facilities at the Pacific Northwest National Laboratory (PNNL). Neutron diffraction experiments were carried out at the Spallation Neutron Source (SNS), which is a U.S. Department of Energy (DOE) user facility at the Oak Ridge National Laboratory (ORNL), sponsored by the Scientific User Facilities Division, Office of Basic Energy Sciences. The authors thank Mr. M. J. Frost at SNS for technical support. BG and AD would like to acknowledge funding support from Laboratory directed research and development funding from Pacific northwest National Laboratory as a part of Solid phase processing science initiative. M. Frank acknowledges the financial support from the Department of Energy Office of Science Graduate Research Program.
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Frank, M., Nene, S.S., Chen, Y. et al. Correlating work hardening with co-activation of stacking fault strengthening and transformation in a high entropy alloy using in-situ neutron diffraction. Sci Rep 10, 22263 (2020). https://doi.org/10.1038/s41598-020-79492-8
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DOI: https://doi.org/10.1038/s41598-020-79492-8
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