Abstract
The demand for increased efficiency of industrial gas turbines and aero engines drives the search for the next generation of materials. Promising candidates for such new materials are Co-based superalloys. We characterize the microsegregation and solidification of a multi-component Co-based superalloy and compare it to a ternary Co–Al–W compound and to two exemplary Ni-based superalloys by combining the experimental characterization of the as-cast microstructures with complementary modelling of phase stability. On the experimental side, we characterize the microstructure and precipitates by electron microscopy and energy-dispersive X-ray spectroscopy and determine the element distributions and microsegregation coefficients by electron probe microanalysis (EPMA). On the modelling side, we carry out solidification simulations and a structure map analysis in order to relate the local chemical composition with phase stability. We find that the microsegregation coefficients for the individual elements are very similar in the investigated Co-based and Ni-based superalloys. By interpreting the local chemical composition from EPMA with the structure map, we effectively unite the set of element distribution maps to compound maps with very good contrast of the dendritic microstructure. The resulting compound maps of the microstructure in terms of average band filling and atomic-size difference explain the formation of topologically close-packed phases in the interdendritic regions. We identify B2, C14, and D024 precipitates with chemical compositions that are in line with the structure map.
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Introduction
Single-crystal Ni-based superalloys are a widely established class of materials for high-temperature applications, like turbine blades in industrial gas turbines or aero engines [1]. These materials exhibit good mechanical stability even at high temperatures due to their characteristic \(\gamma /\gamma ^\prime \)-microstructure [2]. The cuboidal \(\gamma ^\prime \)-precipitates of L12–Ni3Al coexist with a matrix of a disordered \(\gamma \)-phase on a coherent A1 crystal lattice. In 2006 Sato et al. observed a similar microstructure in the ternary Co–Al–W system with L1\(_2\)–Co\(_3\)(Al,W) \(\gamma ^\prime \)-precipitates in the \(\gamma \)-phase [3]. Since then, Co-based single-crystal superalloys are studied as candidates for the next generation of high-temperature superalloys. In particular it was shown that Co–Al–W-based superalloys exhibit flow-stress anomalies similar to Ni-based superalloys [4, 5]. Systematic screenings demonstrated that critical material parameters like, e.g. the \(\gamma ^\prime \) volume fraction, characteristic phase transformation temperatures, and creep strength can be adjusted by alloying to reach the quality of Ni-based superalloys [6–8].
In our recent publication [9] the heat treatment of the complex Co-based superalloy ERBOCo-0 was discussed. In the current work, ERBOCo-0 is further investigated and compared to the simple Co–Al–W ternary system ERBOCo-9W and the two Ni-based superalloys ERBO-1 and Astra2-W. All four alloys were characterized in the as-cast state by a combination of experimental and theoretical techniques with regard to microsegregation, solidification, and microstructure. The experimental metallurgy was complemented by an analysis with a recently derived structure map [10] for topologically close-packed (TCP) phases. Understanding the formation of TCP phases (for a review see e.g. Ref. [11]) is of great importance for alloy development as they reduce the \(\gamma /\gamma ^\prime \)-hardening effect and lead to a depletion of strengtheners in the \(\gamma \)-matrix [12, 13]. We interpret the precipitation of intermetallic phases by analysing local chemical compositions with the structure map and verify our findings with the corresponding transmission electron microscopy (TEM) measurements.
In "Materials and methodology" section we introduce the investigated superalloys as well as our experimental and theoretical methodology. The experimentally observed microsegregation is discussed and interpreted in terms of the structure map in "Microsegregation" section. In "Precipitates in as-cast ERBOCo-0" section the observed intermetallic precipitates in ERBOCo-0 are described and compared to predictions of solidification path modelling. Our findings are summarized in "Conclusions" section.
Materials and methodology
Materials
The nominal chemical compositions of all investigated materials are given in Table 1. ERBO-1 is a 2nd generation single-crystal Ni-based superalloy similar to the commercial CMSX-4 and was provided by Doncasters Precision Casting, Bochum, Germany in the as-cast state. Astra2-W is an experimental W-rich 1st generation Ni-based superalloy which has been investigated for comparison with the W-rich Co-based superalloys. ERBOCo-9W is a single-crystal ternary Co–Al–W alloy while ERBOCo-0 is a multi-component Co-based superalloy. The latter three were developed and cast as single-crystals using the Bridgman process at the University of Erlangen-Nürnberg, Germany. The hot melt at 1560 °C was poured into the moulding tray which was then pulled out of the furnace with a removal speed of 3 mm/min. The average dendrite arm spacing is 220 μm for ERBOCo-0, 250 μm for ERBOCo-9W, and 260 μm for the Astra2-W sample. The bar diameter is 11 mm for Astra-2W and 12 mm for the other samples.
Microstructural characterization
The samples for scanning electron microscopy (SEM), energy-dispersive spectroscopy (EDS), and electron probe microanalysis (EPMA) were cut perpendicular to the \(\lceil 001 \rceil \)-direction, mounted in epoxy and mechanically polished to mirror finish without etching. The microstructure was investigated using an SEM Zeiss (LEO) 1530 VP with 8.5 mm working distance and an acceleration voltage of 20 kV for a secondary electron micrograph (SEM) as well as for a back-scattered electron (BSE) micrograph. TEM experiments were performed with a Jeol JEM-2200FS operated at 200 kV with STEM high-angle annular dark field (HAADF) detector and EDAX EDX system. The specimens were prepared from regions of interest along the matrix/TCP interface using a Jeol JEM-9320 focused ion beam (FIB) system at 30 kV. To measure segregation on a dendritic scale EPMA mappings were performed with a Jeol JXA-8100 instrument. The composition was measured for each mapping point, i.e. 200 × 200 points for the three ERBO alloys and 300 × 300 points for Astra2-W. Using probe sizes of 5 μm for the former three alloys and 2.5 μm for the latter corresponding to characterized areas of 1 mm × 1 mm and 0.75 mm × 0.75 mm, respectively.
Structure map
The employed structure map for TCP phases introduced by Seiser, Drautz, and Pettifor (SDP structure map) [10] describes the structural stability of TCP phases in a compound by making use of atomic properties of the alloying elements. These are combined with the chemical composition of the compound in terms of the average valence band filling
and the relative volume difference
as coordinates of the structure map. Here, \(c_i\) is the molar fraction, \(N_i\) the effective number of valence electrons, and \(V_i\) is the atomic volume (computed from the metallic radii [14–17]) of the alloying element i. The relative volume difference \({{\Delta V}/{\overline{V}}}\) is computed from the atomic volume differences \(\Delta V_{ij}\) and the average atomic volumes \(\overline{V_{ij}}\) in order to quantify the atomic-size differences in the alloy. It increases with the differences in the atomic volumes of the alloying elements and takes a value of zero for pure unaries. It has been shown [10] that the structure map distinguishes the different TCP phases in terms of distinct stability windows, indicated as polyhedra in Fig. 1, that contain the respective experimentally observed binary and multi-component TCP phases [10]. The influence of \(\bar{N}\) on the relative structural stability of TCP phases is well known from the calculations with density functional theory (DFT) [18, 19] and approximate electronic structure methods [20–23]. The interplay of \(\bar{N}\) and \({{\Delta V}/{\overline{V}}}\) was discussed in DFT calculations for various binary systems [22–25].
So far the structure map has been applied to single-phase compound systems, in this work we apply it to precipitates and multi-phase compound systems using the local chemical compositions. In the current work, we additionally considered the B2 (CsCl), L\(1_2\) (\(\gamma ^\prime \)), and D0\(_{24}\) (\(\eta \)-Ni\(_3\)Ti) structures that are relevant for Ni- and Co-based single-crystal superalloys. These phases were included in the structure map by considering the compositions of all binary and ternary pure d-block compounds with these structures according to the Pearson database [25], see Fig. 1. The region of the D0\(_{24}\) structure (relevant for ERBOCo-0, see "Microsegregation" and "Precipitates in as-cast ERBOCo-0" sections) is rather small and well separated from the TCP windows in the structure map. The L\(1_2\) and B2 regions show a rather large variety of band filling and relative volume difference and hence overlap with all other TCP phase windows. In Online Resource 1, we compiled further applications of the structure map to commercially available Co- and Ni-based superalloys and composition variations.
Thermodynamic calculations
The CALPHAD method [26, 27] was applied to predict the stability, volume fraction, and composition of phases for the investigated alloys using the software package Thermo-Calc™version s [28]. The database TCNi5 [29], developed for Ni-based superalloys, was used for all four alloys, i.e. also for the investigated Co-based materials. We expect limitations for complex Co-based materials and apply it mainly to identify the range of applicability.
Microsegregation
SEM and EPMA experiments
The investigated Co- and Ni-based superalloys have as-cast microstructures with a fourfold dendrite symmetry normal to the [001] growth direction. Figure 2 shows a SEM (BSE) micrograph of the as-cast ERBOCo-0 sample normal to the [001] axis. The main differences between the as-cast microstructures of the studied alloys are the microsegregation and the intermetallic precipitates observed in the interdendritic regions. In order to quantify the microsegregation during casting, all four alloys were characterized by EPMA measurements. For the case of ERBOCo-0, the element distribution maps of Co, Ti, Ni, and Al are shown in Fig. 3 (Further EPMA results have been published in Ref. [9]). These indicate that Cobalt segregates to the dendrite core (DC) while Titanium, Nickel, and Aluminium segregate to the interdendritic regions (IR).
In order to determine the microsegregation coefficient for each element, we use a statistical technique that was originally applied for binary alloys [30] and later adapted to multi-component Ni-based [31] and Co-based [32] superalloys. In this procedure the EPMA measured element concentrations in the solid \(c_S\) are sorted in ascending order on the basis of their solid fraction \(f_S\). I.e. the concentration data points from the DC, which solidifies at first, are assigned to \(f_S=0\), while the concentrations from the IR, which solidifies last, are assigned to \(f_S=1\). In Ref. [31] the data points were sorted in ascending order according to the difference in the concentration of Ta and Re, \(c_S(\mathrm {Ta})-c_S(\mathrm {Re})\), since this value increases continuously from the beginning to the end of solidification. In this work the Co mass fraction was used for sorting the element concentrations. This choice is motivated by (1) the monotonic decrease of Co during solidification, (2) the minimization of experimental scatter due to the high amount of Co, and (3) the presence of Co in all investigated alloys. The resulting concentrations are fitted to the Scheil–Gulliver equation under the assumption that diffusion during solidification and subsequent cooling is negligible up to the point where a splitting of the concentration curves is observed (see Fig. 4):
Here, c S and c 0 are the element concentration (in wt%) in the solid and in the nominal composition, respectively; f S the corresponding solid fraction and k the distribution coefficient. The sorted concentration values for Ta, Ti, Hf, Ni, Al, Co, W, and Cr in ERBOCo-0 (Fig. 4) are consistent with the EPMA maps that show Co, W, and Cr enrichment in the DC as well as Ta, Ti, and Hf enrichment in the IR. Al and Ni show a splitting in concentration towards the end of the solidification process at about f S = 94 %. This corresponds to the solidification of the remaining melt in the IR and an associated formation of different phases. Consequently, the data points for f S = 94 % have not been used for computing the microsegregation coefficients of ERBOCo-0.
The obtained microsegregation coefficients for all investigated alloys are shown in Fig 5. The microsegregation coefficients were found to be rather close to 1 in the simple ternary Co-alloy ERBOCo-9W since the degree of microsegregation is the lowest. This is in line with Ref. [32]. In the more complex Co-based superalloy ERBOCo-0, the considered elements show a very similar behaviour as in the Ni-based superalloys ERBO-1 and Astra2-W: Cr, Co, and W (as well as Mo and Re for ERBO-1) segregate preferably to the DC, whereas Ta, Ti, Al, and Ni segregate to the IR. The computed microsegregation coefficients in ERBO-1 are in good agreement with previous studies [33–35], except for W and Re, for which much larger k values (up to 1.6) have been reported. This difference can result from the different casting conditions of the samples. The microsegregation of Ta to the IR is more pronounced in ERBOCo-0 compared to the two Ni-based superalloys, in line with previous findings [32]. This might improve the castability, because it would take account for convective instabilities during casting that are caused by density fluctuations due to heavy elements segregating to the dendrite cores. The observed similarities in the microsegregation behaviour suggest that local enrichments of elements in Co-based superalloys can be as high as in Ni-based superalloys.
Interpretation with structure map
The spatially resolved local chemical composition from the EPMA experiments can be directly linked to the structure map. Therefore the values of \(\overline{N}\) and \({{\Delta V}/{\overline{V}}}\) for each point of the microstructure segment were computed using the local chemical composition from EPMA. The resulting representation of the elemental distribution in terms of \(\overline{N}\) and \({{\Delta V}/{\overline{V}}}\) effectively unites the set of element distribution maps. The resulting compound map reflects the dendritic microstructure of ERBOCo-0 with very good contrast (see Fig. 3). The dendritic cores are characterized by values of \({{\Delta V}/{\overline{V}}}\) and \(\overline{N}\) close to the values of the nominal compositions of the alloys. In the interdendritic regions, however, the value of \(\overline{N}\) is considerably reduced from the nominal value of the alloy, while \({{\Delta V}/{\overline{V}}}\) is increased by nearly a factor of two. These differences can be attributed to the increase in Ta, Ti, Hf, and the decrease of Co and W (compare with Fig. 4a, c).
The EPMA results of the as-cast dendritic microstructure can be further analysed by making use of the value of solid fraction for the different points in the microstructure. Following the chemical compositions along the variation of the solid fractions \(f_S\) from 0 to 1 effectively corresponds to following the solidification path. Therefore, by computing the values of \(\overline{N}\) and \({{\Delta V}/{\overline{V}}}\) for all compositions at each value of \(f_S\), one can follow the solidification path in the structure map along the variation of \(f_S\) as shown in Fig. 6.
With increasing \(f_{S}\) the volume difference is increased and a lower band filling can be observed, which effectively shifts the corresponding positions in the structure map closer to the TCP phase regions. Especially the enrichment of Ti, Ta, and Hf in the IR shifts the local compositions towards the TCP phase regions. In fact, several regions in the microstructure exhibit compositions that are located in the stability regions of the TCP phases. From this, one would already expect an increased likelihood of Laves or \(\mu \) phase formation and indeed these data points can be assigned to such precipitates as discussed in "Precipitates in as-cast ERBOCo-0" section. For comparison the same analysis was carried out for the case of ERBOCo-9W (Fig. 6b). Here, the same trend of increasing \({{\Delta V}/{\overline{V}}}\) and decreasing \(\overline{N}\) during solidification can be observed. However, due to weaker microsegregation, the dendritic structure is less pronounced and the TCP phase regions in the structure map are not reached. This is consistent with the absence of TCP phase precipitates in the experiments.
Precipitates in as-cast ERBOCo-0
Electron microscopy experiments
The microsegregation during casting discussed in the previous sections is responsible for heterogeneities and precipitation of secondary phases. The formation of these phases takes place towards the end of the solidification process, therefore these phases appear in the interdendritic areas. For the as-cast ERBOCo-0, the relatively high concentrations of Hf, Ti, and Ta in the interdendritic areas (EPMA measurement in Fig. 4) lets one expect the formation of intermetallic phases (structure map analysis in Fig. 6). Such precipitates were indeed identified experimentally in ERBOCo-0 [9], see Fig. 7 for a characteristic example.
The dark regions are surrounded by the \(\gamma ^\prime \) phase that appears as a continuous phase framing the precipitates. From the thermodynamic modelling in Ref. [9] one could expect the C14, \(\mu \), B2, and D\(0_{24}\) phase to form. Here, using the Selected Area Diffraction (SAD) analysis the white precipitates could be identified as C14 Laves phases and the black regions as B2 phases by TEM diffraction patterns (Fig. 8c, e). A diffraction pattern of the needle-shaped precipitates (assigned to D\(0_{24}\) phases in Ref. [9]) could not be resolved. In higher-resolution HAADF STEM experiments (Fig. 8a) fairly sharp interfaces between \(\gamma ^\prime \), B2, and C14-Laves phases were found. At the junction between the three phases (Fig. 8b) a small inclusion of an R-phase was identified (Fig. 8f).
The chemical compositions of the precipitates as obtained by EDS at the TEM [9] are compiled in Table 2, together with results of Scheil–Gulliver calculations discussed below. The corresponding positions in the structure map are indicated in Fig. 9.
The observed compositions are located within the corresponding phase stability region in the structure map (B2) or very close nearby (C14, \(\text{D}0_{24}\)). The C14 phase exhibits local Co, Cr, and W concentrations close to the nominal composition. The Ni and Al concentrations in C14 are reduced, while the Ti, Ta, and Hf concentrations are increased. These sizable local enrichments of early transition metals in the C14 precipitates effectively shifts the corresponding structure map position towards the stability region of the Laves phase (Fig. 9). The structure map analysis furthermore supports the identification of the needle-shaped precipitates as D0\(_{24}\) phases. The identified B2, Laves, and D0\(_{24}\) precipitates dissolve to a large extent in the homogenisation heat treatments [9]. The few remaining Laves phase precipitates undergo considerable changes in chemical composition [9] but remain within the Laves phase region in the structure map. This applicability of the structure map to precipitates in as-cast and heat-treated samples suggests that the local phase equilibrium plays an important role for TCP phases in superalloys.
Solidification path modelling
The formation of secondary phases is also accessible through thermodynamic simulation of the solidification process. Here, CALPHAD calculations assuming Scheil solidification with the TCNi5 database were performed for ERBOCo-0 (see also Ref. [9]) and, for comparison, also for ERBO-1. For each temperature, the composition of the resulting phases was assigned to the SDP structure map in order to visualize the solidification path, see (Fig. 10). The CALPHAD calculations do not show any precipitation of \(\gamma ^\prime \) for ERBOCo-0, while they predict \(\gamma ^\prime \)-precipitation below 1310 °C for ERBO-1. In both cases, the precipitation of a \(\mu \) and B2 phase appears at a later state of solidification. Additionally, in ERBOCo-0 a Laves phase forms below 1180 °C and D\(0_{24}\) precipitation starts below 1000 °C. All predicted precipitate compositions are located within the corresponding phase stability regions in the structure map, except for the \(\mu \) phase in ERBO-1 that is just outside the \(\mu \) phase region. Such a slight deviation for multi-component \(\mu \)-phases has already been reported in Ref. [10]. In ERBO-1, all phases exhibit a tendency to a lower band filling as their composition changes during solidification. The same behaviour is also shown by the B2 and C14 phases in ERBOCo-0. The D0\(_{24}\) phase composition in ERBOCo-0 is constant at all stages of solidification. Hence, the corresponding solidification path in the structure map is only a single point (purple filled square in Fig. 10b). The solidification paths of the C14 and \(\mu \) phase show rapid changes due to sudden shifts in the band filling at \(T\approx\) 1060 °C (C14) and \(T\approx\) 1050 °C (\(\mu \)). This is also reflected in the solidification path of the remaining liquid. In both alloys the composition of the remaining liquid at the end of the solidification is at lower \(\overline{N}\) and larger \({{\Delta V}/{\overline{V}}}\) with respect to the nominal composition, i.e. closer to the region of the TCP phase stability. This is in line with the general trend of the EPMA results during solidification.
The predictions of the Scheil–Gulliver calculations are compared to the TEM results at 975 °C in Table 2 and in Fig. 9. The simulations reproduce the experimental observation of C14, D0\(_{24}\), and B2 phases, although with sizeable differences in chemical compositions. The Scheil–Gulliver results are shifted to smaller values of \(\overline{N}\), particularly due to the significantly larger Ti concentration. The \(\mu \) phases predicted by the simulation could not be observed experimentally. This could be due to the as-cast state or the limited application range of the TCNi5 database for this complex Co-based superalloy.
Conclusions
In the current work, the microsegregation and precipitate formation of the multi-component Co-based superalloy ERBOCo-0 is characterized and compared to the ternary ERBOCo-9W system and the Ni-based superalloys ASTRA-2W and ERBO-1. The experimental characterization of the as-cast microstructure (SEM, TEM, EDS) and the investigation of the elemental distribution during solidification (EPMA) were combined with complementary theoretical descriptions of phase stability (structure map, CALPHAD).
EPMA measurements show that the microsegregation in the investigated Co-based and Ni-based superalloys is very similar. For the multi-component superalloys an enrichment of Co, Cr, and W in the dendrite cores and an enrichment of Ta, Ti, and Hf in the interdendritic regions were found. This trend is also observed in the corresponding segregation coefficients. In the ternary alloy ERBOCo-9W the microsegregation of W is weaker than in the multi-component systems while Co and Al behave similarly. The microsegregation coefficients for the individual elements are in general similar in the different Co-based and Ni-based superalloys. In ERBOCo-0 a strong microsegregation of Ta and Ti to the interdendritic region was observed that could counterbalance the microsegregation of W to the dendrite core and lead to a better castability compared to ERBO-1 and Astra2-W.
Plotting the EPMA results in terms of the structure map coordinates unites the individual elemental distributions in a physically motivated averaging scheme. The resulting microstructure maps for the compound provide a first estimate of potential locations of TCP phase precipitates in the microstructure. Furthermore, following the compositions along the solid fraction for ERBOCo-0, the structure map indicates that most local compositions are within the L1\(_2\) and B2 stability regions. Towards the end of the solidification process the compositions take values in the D0\(_{24}\), Laves, and \(\mu \) phase regions.
The structure map analysis is confirmed by the experimental observation of several intermetallic precipitates. The B2 phase and the Laves phase C14 could be identified by TEM experiments, the latter with an enrichment of the early transition metals Ti, Ta, and Hf. Small inclusions of R-phase precipitates at the junction between the \(\gamma ^\prime \), B2, and C14 were identified by TEM. Further needle-shaped precipitates are expected to be in D0\(_{24}\) phases. These findings are supported by CALPHAD-based solidification simulations using the TCNi5 database that also predict B2, D0\(_{24},\) and C14 phase formation, although with considerable differences in chemical composition. The additional prediction of the \(\mu \) phase was not confirmed in our experiments. This can be due to the lack of time to reach thermodynamic equilibrium in the experiment or due to the limited applicability of the TCNi5 database in the simulations.
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Acknowledgements
We acknowledge financial support by the German Research Foundation (DFG) through projects A2, B3, B4, C1, and the service project WSP of the collaborative research center SFB/TR 103. We acknowledge Sabine Michel for performing the EPMA measurements and Katarzyna Matuszewska for performing single-crystal casting. JK, RD, and TH acknowledge financial support through ThyssenKrupp AG, Bayer MaterialScience AG, Salzgitter Mannesmann Forschung GmbH, Robert Bosch GmbH, Benteler Stahl/Rohr GmbH, Bayer Technology Services GmbH, the state of North-Rhine Westphalia, the European Commission in the framework of the ERDF.
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Koßmann, J., Zenk, C.H., Lopez-Galilea, I. et al. Microsegregation and precipitates of an as-cast Co-based superalloy—microstructural characterization and phase stability modelling. J Mater Sci 50, 6329–6338 (2015). https://doi.org/10.1007/s10853-015-9177-8
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DOI: https://doi.org/10.1007/s10853-015-9177-8