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Comments on Small-angle neutron scattering analysis of the precipitation behaviour in a maraging steel by Staron, Jamnig, Leitner, Ebner & Clemens (2003)

aSchool of Civil Engineering, Queen's University of Belfast, Belfast, BT7 1NN, Northern Ireland
*Correspondence e-mail: z.guo@sentesoftware.co.uk

(Received 17 June 2003; accepted 5 December 2003)

Further to the paper by Staron, Jamnig, Leitner, Ebner & Clemens [J. Appl. Cryst. (2003[Staron, P., Jamnig, B., Leitner, H., Ebner, R. & Clemens, H. (2003). J. Appl. Cryst. 36, 415-419.]), 36, 415–419 ], the following points are made. Characterization of the precipitation process in maraging steels is difficult, primarily because the precipitates formed are on the nanometre scale. Identification of the precipitate type is complicated by the fact that its composition evolves during ageing, even when the precipitate type remains unchanged. Interpretation of experimental results should be treated with caution, especially when indirect methods, such as small-angle neutron scattering (SANS), are used. Atom-probe field ion microscopy (APFIM) has proved to be capable of determining the type and composition of the fine precipitates in maraging steels. The advantages and disadvantages of SANS and APFIM are briefly discussed.

1. Introduction

A generic class of ultra-high strength maraging steels has been developed over the past 40 years, mainly for aircraft, aerospace and tooling applications. The ultra-high strength is due to precipitation, usually of intermetallic compounds, during the ageing process (Floreen & Decker, 1979[Floreen, S. & Decker, R. F. (1979). `Heat Treatment of 18% Ni Maraging Steel'. Source Book on Maraging Steels, edited by R. F. Decker, pp. 20-32. Metals Park, Ohio: ASM.]; Decker & Floreen, 1988[Decker, R. F. & Floreen, S. (1988). `Maraging Steels - The First 30 Years'. Maraging Steels: Recent Developments and Applications, edited by R. K. Wilson, pp. 1-38. Warrendale, Pennsylvania: TMS-AIME.]; Vasudevan et al., 1990[Vasudevan, V. K., Kim, S. J. & Wayman, C. M. (1990). Metall. Trans. A, 21A, 2655-2668.]; Sha et al., 1993a[Sha, W., Cerezo, A. & Smith, G. D. W. (1993a). Metall. Trans. A, 24A, 1221-1232.],b[Sha, W., Cerezo, A. & Smith, G. D. W. (1993b). Metall. Trans. A, 24A, 1233-1239.],c[Sha, W., Cerezo, A. & Smith, G. D. W. (1993c). Metall. Trans. A, 24A, 1241-1249.],d[Sha, W., Cerezo, A. & Smith, G. D. W. (1993d). Metall. Trans. A, 24A, 1251-1255.]; Guo et al., 2003[Guo, Z., Sha, W. & Vaumousse, D. (2003). Acta Mater. 51, 101-116.]). Characterization of the precipitates is difficult, primarily due to their fine size, which is usually on the nanometre scale. A variety of techniques have been employed to study the type, composition, size and volume fraction of the precipitates formed in maraging steels. These include direct methods, such as transmission electron microscopy (Vasudevan et al., 1990[Vasudevan, V. K., Kim, S. J. & Wayman, C. M. (1990). Metall. Trans. A, 21A, 2655-2668.]) and atom-probe field ion microscopy (Sha et al., 1993a[Sha, W., Cerezo, A. & Smith, G. D. W. (1993a). Metall. Trans. A, 24A, 1221-1232.],b[Sha, W., Cerezo, A. & Smith, G. D. W. (1993b). Metall. Trans. A, 24A, 1233-1239.],c[Sha, W., Cerezo, A. & Smith, G. D. W. (1993c). Metall. Trans. A, 24A, 1241-1249.],d[Sha, W., Cerezo, A. & Smith, G. D. W. (1993d). Metall. Trans. A, 24A, 1251-1255.]; Guo et al., 2003[Guo, Z., Sha, W. & Vaumousse, D. (2003). Acta Mater. 51, 101-116.]), and indirect methods, such as small-angle X-ray scattering (Tewari et al., 2000[Tewari, R., Mazumder, S., Batra, I. S., Dey, G. K. & Banerjee, S. (2000). Acta Mater. 48, 1187-1200.]), small-angle neutron scattering (Servant & Bouzid, 1989[Servant, C. & Bouzid, N. (1989). Philos. Mag. B, 60, 659-687.]) and Mössbauer spectroscopy (Li & Yin, 1995[Li, X. D. & Yin, Z. D. (1995). Mater. Lett. 24, 235-238.]). Recently, Staron et al. studied the precipitation behaviour in a Cr-containing maraging steel using energy filtering transmission electron microcopy (EFTEM) and small-angle neutron scattering (SANS) (Staron et al., 2003[Staron, P., Jamnig, B., Leitner, H., Ebner, R. & Clemens, H. (2003). J. Appl. Cryst. 36, 415-419.]). Their analyses of the experimental results led to the conclusion that the precipitates formed are solely the intermetallic G-phase, Ti6Si7Ni16, with none of the Ni3Ti type. This is in contradiction with what was reported by Gemperle and Sha et al. (Gemperle et al., 1992[Gemperle, A., Gemperlová, J., Sha, W. & Smith, G. D. W. (1992). Mater. Sci. Technol. 8, 546-554.]; Sha et al., 1993c[Sha, W., Cerezo, A. & Smith, G. D. W. (1993c). Metall. Trans. A, 24A, 1241-1249.]), who studied virtually the same alloy using atom-probe field ion microscopy (APFIM) and observed the existence of both Ni3Ti and the Ti6Si7Ni16 G-phase. Formation of reverted austenite was also observed when the alloy was over-aged. The aim of this communication is to reveal what may be responsible for the above discrepancies. The advantages and disadvantages of SANS and APFIM are briefly discussed.

2. Discussion

The alloys studied by Gemperle et al. and Staron et al. are slightly different in composition, as shown in Table 1[link]. Such a difference, however, is not expected to alter the precipitation behaviour of the alloys much. In the work by Staron et al., qualitative information about the composition of the precipitates was provided by the EFTEM mapping images of various elements. They then claimed that all precipitates are of one type, showing depletion in Fe and Cr and enrichment in Ni, Ti and Si. However, such a qualitative approach may result in misleading conclusions. On the one hand, it is virtually impossible to tell that depletion or enrichment of various elements indeed takes place at each precipitate, especially when the precipitates studied are on an extremely fine scale and of a high number density. On the other hand, it is possible that precipitates of different types may be adjacent, one type being the nucleation site of another type (Stiller et al., 1996[Stiller, K., Danoix, F. & Bostel, A. (1996). Appl. Surf. Sci. 94/95, 326-333.], 1998[Stiller, K., Danoix, F. & Hattestrand, M. (1998). Mater. Sci. Eng. A, 250A, 22-26.]). Murayama et al. reported that fine particles of G-phase, enriched in Si, Ni and Mn, have been found in intimate contact with the Cu precipitates in a PH17-4 stainless steel (Murayama et al., 1999[Murayama, M., Katayama, Y. & Hono, K. (1999). Metall. Mater. Trans. A, 30A, 345-353.]). The subtle position difference of such precipitates of different types may not be discernible for EFTEM. The EFTEM mapping images do not provide enough evidence to discard the existence of Ni3Ti precipitates.

Table 1
Chemical composition of the Cr-containing steels (at.%)

  C Al Cr Mo Ni Ti Si Mn Fe
Gemperle et al. (1992[Gemperle, A., Gemperlová, J., Sha, W. & Smith, G. D. W. (1992). Mater. Sci. Technol. 8, 546-554.]) 0.1 1.2 11.2 1.3 9.1 1.0 1.0 0.2 Balance
Staron et al. (2003[Staron, P., Jamnig, B., Leitner, H., Ebner, R. & Clemens, H. (2003). J. Appl. Cryst. 36, 415-419.]) 0.05 1.2 13.0 0.6 8.3 1.0 1.1 0.1 Balance

There is indeed another reason for Staron et al. to exclude the possible presence of Ni3Ti. The calculated nuclear scattering length density (NSLD) and the ratio A of magnetic to nuclear scattering intensity for Ni3Ti deviate from the values measured by SANS. However, a closer look at their calculations reveals that some of the assumptions used can be improved.

Firstly, the precipitate formed was assumed to be of stoichiometric composition in their calculations. In reality, the composition of a certain type of precipitate evolves during ageing and it may deviate significantly from the stoichiometric formula (Guo et al., 2003[Guo, Z., Sha, W. & Vaumousse, D. (2003). Acta Mater. 51, 101-116.]; Guo & Sha, 2002[Guo, Z. & Sha, W. (2002). Intermetallics, 10, 945-950.]). Since the calculation of the NSLD and A is very sensitive to the phase composition, the calculated NSLD and A values may not be accurate. If the composition of Ni3Ti measured by APFIM, i.e. Fe–2Cr–2Mo–65Ni–7Al–20Ti (at.%) after 5 h at 793 K, is used, the calculated values for ηnuc and A will be 5.68 × 1014 m−2 and 7.44, respectively. If the ageing is carried out at lower temperatures for a shorter time, the NSLD and A values calculated from the real composition may fall within the range of the measured values. In fact, if one looks closely at the volume fraction of precipitates formed (Table 3 in Staron et al.), one will realise that whatever type the precipitate is, Ti6Si7Ni16, Ni3Ti or Ni3Mo, the alloy composition simply does not allow such high amounts of precipitates to form. The formation of 7.8 mol% (mol% very close to vol% in numerical values) Ti6Si7Ni16 requires about 1.6 mol% Ti and 1.9 mol% Si, whereas the alloy only contains 1.0 mol% Ti and 1.1 mol% Si. Indeed, Staron et al. did realise that the composition could change with time but probably they underestimated the extent of its influence.

Secondly, the composition of the matrix is assumed to be unchanged prior to and after ageing, which cannot be justified. If the martensite matrix composition after 5 h at 793 K is used, i.e., Fe–0.7Si–11.4Cr–1.1Mo–2.8Ni–0.5Al–0.1Ti (at.%), the calculated NSLD value for ηnuc, m would be 7.39 × 1014 m−2, instead of 7.24 × 1014 m−2. In turn, the calculated A ratio for Ni3Ti is 6.3 (ηnuc = 5.68 × 1014 m−2), whereas the calculated values for ηnuc and A for the G-phase are 4.87 × 1014 m−2 and 3.5, respectively. It is not clear what role the reverted austenite will play in the calculations. The austenite formed during ageing has a composition different to that of the parent martensite. It can be considered as a precipitate and is sometimes termed precipitated austenite. Its existence after long-term ageing is a matter of fact, which contributes very much to the softening of maraging steels after peak hardness. A comparison of the newly calculated values and those reported by Staron et al. is given in Table 2[link].

Table 2
Calculated nuclear scattering length densities and A ratios of some intermetallic coherent precipitates, compared with the values obtained experimentally

  ηnuc, p (1014 m−2) A ratio
Measured 5.2–5.5 4.6–6.4
Calculated Staron et al. New values Staron et al. New values
Ti6Si7Ni16 5.10 4.87 4.4 3.5
Ni3Ti 5.86 5.68 9.2 6.3
Ni2Ti 4.88   3.8 3.5
NiTi 2.93   1.8 1.8
NiAl 5.87   9.3 7.7
Ni4Mo 8.18   18.8 26.6
Ni3Mo 8.03   26.4 40.1
†Calculated based on the phase composition after 5 h at 793 K.

3. Conclusions

From the discussions above, one can see the uncertainties involved in the original SANS analysis by Staron et al. Both SANS and APFIM are well established techniques for the study of fine precipitates. Each has its own advantages and disadvantages, and which technique is to be used depends on the purpose of the research. One significant advantage of SANS over TEM and APFIM is that its sampling size can be many orders of magnitude larger, and therefore the inhomogeneity statistics of SANS are more representative of the microstructure sampled. The size distribution and number density of the precipitates formed during early stages, when they are very small, can be determined by SANS. However, interpretation of the SANS results may not be straightforward if there is more than one type of precipitate in the matrix simultaneously (Große et al., 2000[Große, M., Gokhman, A. & Böhmert, J. (2000). Nucl. Instrum. Methods Phys. Res. B, 160, 515-520.]). On the other hand, there is little uncertainty in the identification of precipitate type and composition by APFIM, due to its unique capability of measuring composition variations on a nanometre scale, together with equal detection efficiency for all elements. There should be little doubt that the precipitates formed in the Cr-containing steels studied consist of both Ti6Si7Ni16 G-phase and Ni3Ti.

In conclusion, atom-probe field ion microscopy has proved to be a powerful tool for studying the precipitation process in maraging steels. It can determine the type, size and composition of the precipitates formed in a straightforward way. The precipitates formed in the Cr-containing maraging steel consist of the Ti6Si7Ni16 G-phase and the Ni3Ti phase. Interpretation of SANS results should be treated with caution, especially when little is known about the precipitate types and size.

Acknowledgements

This work was carried out within the `Computer Modelling of the Evolution of Microstructure during Processing of Maraging Steels' project, sponsored by the Engineering and Physical Sciences Research Council, UK, under Grant No. GR/N08971. WS is sponsored under The Royal Academy of Engineering Global Research Award Scheme.

References

First citationDecker, R. F. & Floreen, S. (1988). `Maraging Steels – The First 30 Years'. Maraging Steels: Recent Developments and Applications, edited by R. K. Wilson, pp. 1–38. Warrendale, Pennsylvania: TMS-AIME.  Google Scholar
First citationFloreen, S. & Decker, R. F. (1979). `Heat Treatment of 18% Ni Maraging Steel'. Source Book on Maraging Steels, edited by R. F. Decker, pp. 20–32. Metals Park, Ohio: ASM.  Google Scholar
First citationGemperle, A., Gemperlová, J., Sha, W. & Smith, G. D. W. (1992). Mater. Sci. Technol. 8, 546–554.  CrossRef CAS Google Scholar
First citationGroße, M., Gokhman, A. & Böhmert, J. (2000). Nucl. Instrum. Methods Phys. Res. B, 160, 515–520.  CAS Google Scholar
First citationGuo, Z. & Sha, W. (2002). Intermetallics, 10, 945–950.  Web of Science CrossRef CAS Google Scholar
First citationGuo, Z., Sha, W. & Vaumousse, D. (2003). Acta Mater. 51, 101–116.  Web of Science CrossRef CAS Google Scholar
First citationLi, X. D. & Yin, Z. D. (1995). Mater. Lett. 24, 235–238.  CrossRef Web of Science Google Scholar
First citationMurayama, M., Katayama, Y. & Hono, K. (1999). Metall. Mater. Trans. A, 30A, 345–353.  Web of Science CrossRef CAS Google Scholar
First citationServant, C. & Bouzid, N. (1989). Philos. Mag. B, 60, 659–687.  CrossRef CAS Google Scholar
First citationSha, W., Cerezo, A. & Smith, G. D. W. (1993a). Metall. Trans. A, 24A, 1221–1232.  CrossRef CAS Google Scholar
First citationSha, W., Cerezo, A. & Smith, G. D. W. (1993b). Metall. Trans. A, 24A, 1233–1239.  CrossRef CAS Google Scholar
First citationSha, W., Cerezo, A. & Smith, G. D. W. (1993c). Metall. Trans. A, 24A, 1241–1249.  CrossRef CAS Google Scholar
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First citationStiller, K., Danoix, F. & Bostel, A. (1996). Appl. Surf. Sci. 94/95, 326–333.  CrossRef CAS Web of Science Google Scholar
First citationStiller, K., Danoix, F. & Hattestrand, M. (1998). Mater. Sci. Eng. A, 250A, 22–26.  CrossRef Google Scholar
First citationTewari, R., Mazumder, S., Batra, I. S., Dey, G. K. & Banerjee, S. (2000). Acta Mater. 48, 1187–1200.  Web of Science CrossRef CAS Google Scholar
First citationVasudevan, V. K., Kim, S. J. & Wayman, C. M. (1990). Metall. Trans. A, 21A, 2655–2668.  CrossRef CAS Google Scholar

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