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Aging behavior of 17-4 PH stainless steel studied using XRDLPA for separating the influence of precipitation and dislocations on microstrain

Published online by Cambridge University Press:  07 November 2017

R. Manojkumar Open the ORCID record for R. Manojkumar [Opens in a new window] ,
S. Mahadevan ,
C.K. Mukhopadhyay  and
B.P.C. Rao
R. Manojkumar*
Affiliation:
Non Destructive Evaluation Division, Indira Gandhi Centre for Atomic Research, Homi Bhabha National Institute, Kalpakkam 603 102, India
S. Mahadevan
Affiliation:
Non Destructive Evaluation Division, Indira Gandhi Centre for Atomic Research, Homi Bhabha National Institute, Kalpakkam 603 102, India
C.K. Mukhopadhyay
Affiliation:
Non Destructive Evaluation Division, Indira Gandhi Centre for Atomic Research, Homi Bhabha National Institute, Kalpakkam 603 102, India
B.P.C. Rao
Affiliation:
Non Destructive Evaluation Division, Indira Gandhi Centre for Atomic Research, Homi Bhabha National Institute, Kalpakkam 603 102, India
*
a)Address all correspondence to this author. e-mail: [email protected]
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Abstract

The aging behavior of precipitation hardenable 17-4 PH stainless steel is studied by analyzing the changes in microstrain, crystallite size, and dislocation density derived from the modified Williamson–Hall (mWH) method and the Fourier analysis of XRD profiles. Aging treatment of this steel at 380, 430, and 480 °C for 0.5, 1, and 3 h durations leads to changes in the microstrain due to precipitation and substructural changes caused by dislocation annihilation. The microstrain estimated from the mWH method is dominated by the precipitate-induced effects. The influence of precipitates and dislocations on the mean squared strain 〈ε2(L)〉 are separated by fitting the variation of 〈ε2(L)〉 with an expression P0 + P1/L + P2/L2, where the parameter (P0)0.5 and P1 are shown to be related to the precipitate-induced and dislocation density-induced microstrain, respectively. The study shows that the XRD profile analysis can be used to separate the combined effects of precipitation and dislocation annihilation.

Keywords

17-4 PH stainless steelprecipitate strengtheningdislocation annihilationmicrostrainphenomenological modelmodified Williamson–Hall method
Type
Articles
Information
Journal of Materials Research , Volume 32 , Issue 22 , 28 November 2017 , pp. 4263 - 4271
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Copyright
Copyright © Materials Research Society 2017 

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Footnotes

Contributing Editor: Jürgen Eckert

References

REFERENCES

Viswanathan, U.K., Nayar, P.K.K., and Krishnan, R.: Kinetics of precipitation in 17-4 PH stainless steel. Mater. Sci. Technol. 5, 346 (1989).Google Scholar
Viswanathan, U.K., Banerjee, S., and Krishnan, R.: Effects of aging on the microstructure of 17-4 PH stainless steel. Mater. Sci. Eng., A 104, 181 (1988).Google Scholar
Miller, M.K. and Burke, M.G.: Characterization of copper precipitation in a 17/4 pH steel: A combined APFIM/TEM Study In 5th International Symposium on the Environmental Degradation of Materials in Nuclear Power Systems-Water Reactors (American Nuclear Society, Monterery, California, 1992); pp. 689–695.Google Scholar
Murayama, M., Katayama, Y., and Hono, K.: Microstructural evolution in a 17-4 PH stainless steel after aging at 400 °C. Metall. Mater. Trans. A 30, 345 (1999).CrossRefGoogle Scholar
Bhambroo, R., Roychowdhury, S., Kain, V., and Raja, V.S.: Effect of reverted austenite on mechanical properties of precipitation hardenable 17-4 stainless steel. Mater. Sci. Eng., A 568, 127 (2013).Google Scholar
Mahadevan, S., Manojkumar, R., Jayakumar, T., Das, C.R., and Rao, B.P.C.: Precipitation induced changes in microstrain and its relation with hardness and tempering parameter in 17-4 PH stainless steel. Metall. Mater. Trans. A 47, 3109 (2016).Google Scholar
Hsiao, C.N., Chiou, C.S., and Yang, J.R.: Aging reactions in a 17-4 PH stainless steel. Mater. Chem. Phys. 74, 134 (2002).Google Scholar
Vershinina, T. and Leont’eva-Smirnova, M.: Dislocation density evolution in the process of high-temperature treatment and creep of EK-181 steel. Mater. Charact. 125, 23 (2017).Google Scholar
Warren, B.E. and Averbach, B.L.: The effect of cold-work distortion on X-ray patterns. J. Appl. Phys. 21, 595 (1950).Google Scholar
Williamson, G.K. and Hall, W.H.: X ray line braodening from filed aluminum and wolfram. Acta Metall. 1, 22 (1953).Google Scholar
Nandhi, R.K., Kuo, H.K., Schlosberg, W., Wissler, G., Cohen, J.B., and Crist, B. Jr.: Single peak methods for Fourier analysis of peak shapes. J. Appl. Crystallogr. 17, 22 (1984).Google Scholar
Ungár, T. and Borbély, A.: The effect of dislocation contrast on X-ray line broadening: A new approach to line profile analysis. Appl. Phys. Lett. 69, 3173 (1996).Google Scholar
Stephens, P.W.: Phenomenological model of anisotropic peak broadening in powder diffraction. J. Appl. Crystallogr. 32, 281 (1999).Google Scholar
Birkenstock, J., Fischer, R.K., and Messner, T.: BRASS, Ver 2.0: The Bremen Rietveld Analysis and Structure Suite (2005). Available at: www.brass.uni-bremen.de (accessed 14 September 2017).Google Scholar
Mahadevan, S., Jayakumar, T., Rao, B.P.C., Kumar, A., Rajkumar, K.V., and Raj, B.: X-ray diffraction profile analysis for characterizing isothermal aging behavior of M250 grade maraging steel. Metall. Mater. Trans. A 39, 1978 (2008).Google Scholar
Rothman, R.L. and Cohen, J.B.: X-ray study of faulting in BCC metals and alloys. J. Appl. Phys. 42(3), 971 (1971).Google Scholar
Wilkens, M.: X-ray line broadening of plastically deformed crystals. In Proceedings on the 5th Riso International Symposium on the Material Science (Riso National Laboratory, Roskilde, Denmark, 1984); pp. 153–168.Google Scholar
Balzar, D. and Ledbetter, H.: Voigt-function modeling in Fourier analysis of size and strain broadened X-ray diffraction peaks. J. Appl. Crystallogr. 26, 97 (1993).CrossRefGoogle Scholar
Van Berkum, J.G.M., Vermeulen, A.C., Delhez, R., De Keijser, H., and Mittemeijer, E.J.: Applicabilities of the Warren–Averbach analysis and an alternative analysis for separation of size and strain broadening. J. Appl. Crystallogr. 27, 345 (1994).CrossRefGoogle Scholar
Howard, S.A. and Snyder, R.L.: The use of direct convolution products in profile and pattern fitting algorithms. I. Development of the algorithms. J. Appl. Crystallogr. 22, 238 (1989).Google Scholar
Enzo, S., Fagherazzi, G., Bendetti, A., and Polizzi, S.: A profile-fitting procedure for analysis of broadened X-ray diffraction. J. Appl. Crystallogr. 21, 536 (1988).Google Scholar
Sanchez-Bajo, F., Ortiz, A.L., and Cumbrera, F.L.: Novel analytical model for the determination of grain size distributions in nanocrystalline materials with low lattice microstrains by X-ray diffractometry. Acta Mater. 54, 1 (2006).Google Scholar
Prabal, D.: On use of pseudo-Voigt profiles in diffraction line broadening analysis. Fizika A 9, 61 (2000).Google Scholar
Ribárik, G., Ungár, T., and Gubicza, J.: MWP-fit: A program for multiple whole-profile fitting of diffraction peak profiles by ab initio theoretical functions. J. Appl. Crystallogr. 34, 669 (2001).Google Scholar
Williamson, G.K. and Smallman, R.E.: Dislocation densities in some annealed and cold-worked metals from measurements on the X-ray Debye–Scherrer spectrum. Philos. Mag. 1, 34 (1956).Google Scholar
Hurley, D.C., Balzar, D., and Purtscher, P.T.: Nonlinear ultrasonic assessment of precipitation hardening in ASTM A710 steel. J. Mater. Res. 15, 2036 (2000).Google Scholar
Martin, J.W.: Micromechanisms in Particle-Hardened Alloys (Cambridge University Press, New York, NY, 1980).Google Scholar
Ghosh, S.K., Haldar, A., and Chattopadhyay, P.P.: On the Cu precipitation behavior in thermomechanically processed low carbon microalloyed steels. Mater. Sci. Eng., A 519, 88 (2009).CrossRefGoogle Scholar
Huang, K., Qinglong, Z., Yanjun, L., and Knut, M.: Two-stage annealing of a cold-rolled Al–Mn–Fe–Si alloy with different microchemistry states. J. Mater. Process. Technol. 221, 87 (2015).CrossRefGoogle Scholar