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Journal of Materials Science

, Volume 29, Issue 6, pp 1471–1480 | Cite as

Age-hardening kinetics and microstructure of PH 15−5 stainless steel after laser melting and solution treating

  • K. Ozbaysal
  • O. T. Inal
Papers

Abstract

Microstructural characterization and the kinetics of ageing of 15 PH stainless steel is studied in the fusion zone and in solution-treated and quenched (as-quenched) samples. Fusion zone had a finer structure than the as-quenched samples due to melting and subsequent solidification. This had a major effect on the amount of the hardness received in the fusion zone. The ageing structure of both samples was essentially the same, except for the smaller solidification cell size of the fusion zone. Strengthening was achieved by the formation of coherent precipitation of copper in the b c c martensite. Copper precipitates were found to be related to the parent martensite with a Kurdjumov-Sachs orientation relationship in both samples. Precipitates were spherical in shape and they nucleate and grow both on the dislocations and in the matrix. No incubation period was observed in the hardening curves. Kinetics of precipitation was studied from an Arrhenius type equation for both samples. It was found that, at high ageing temperatures, the activation energy for precipitation hardening was approximately the same as that of the activation energy for substitutional diffusion in b c c ferrite. At lower ageing temperatures, the calculated activation energy was consistent with the activation energy for short circuit diffusion of substitutionals in b c c structure. Microstructural characterization and the activation energy calculations showed that precipitation of copper in both samples was controlled by the diffusion of copper in b c c martensite. At high ageing temperatures, mass transport of copper was through the lattice. At low temperatures, the contribution of high dislocation density to the apparent diffusivity was large.

Keywords

Activation Energy Ferrite Martensite Fusion Zone Microstructural Characterization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Chapman & Hall 1994

Authors and Affiliations

  • K. Ozbaysal
    • 1
  • O. T. Inal
    • 1
  1. 1.Materials and Metallurgical Engineering DepartmentNew Mexico Institute of Mining and TechnologySocorroUSA

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