Abstract

The quantification of key microstructural parameters as a function of aging or creep exposure time is commonplace in the assessment of 9Cr Creep Strength Enhanced Ferritic (CSEF) power-plant steels. In these studies, the sample is either assumed chemically homogenous at the micro-scale or that a material average will be achieved by collecting enough images at random locations. In this paper, the micro-scale chemical homogeneity of two ex-service boiler components, a pipe and a forging, are quantitatively assessed using high sensitivity chemical mapping from µ-XRF. The compositional variation was as expected most pronounced in the larger elements Mo and Nb, where a > 20 pct difference in composition was present between positively and negatively segregated areas. The effect of this micro-segregation on local variations in Laves phase particle characteristics was investigated using SEM images. This showed a factor of two difference in the number of particles and the area coverage between positively and negatively Mo-segregated regions. This result was consistent with the thermodynamic equilibrium predictions of the phase content based on the observed level of segregation.

Highlights

  • SINCE the international energy crisis in the 1970s, increasing efforts have been made to improve the efficiency of power generation.[1]

  • An outcome of the drive for increased Fossil fuelled plant efficiency was the adoption and widespread design and fabrication of components using Grade 91 steel. This alloy is a creep strength enhanced ferritic (CSEF) steel that was originally developed over approximately a ten-year period beginning in the mid-1970s by the Oak-Ridge National Laboratory (ORNL) and Combustion Engineering.[2]

  • The Gr.91 materials used in this study were from an ex-service final superheat outlet header (Figure 1(a)), supplied by the Electric Power Research Institute (EPRI)

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Summary

Introduction

SINCE the international energy crisis in the 1970s, increasing efforts have been made to improve the efficiency of power generation.[1].

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Methods
Conclusion

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