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Microstructural Stability of Strong 9-12Cr Steels: 

Microstructural Stability of Strong 9-12Cr Steels www.msm.cam.ac.uk/phase-trans 650°C

Slide2: 

Tempered martensite Tempered bainite Nam (1999)

Slide3: 

Kimura et al., 2001

Slide4: 

Thermodynamic stability 650°C Extrapolation of short-term data Fe-0.2C-1.5Mn wt% Stability: stored energy

Slide5: 

martensite

Slide6: 

martensite

Slide8: 

Long term stability requires precipitates which are close to equilibrium Laves, intermetallics, MX Metastable phases not appropriate Interfacial energy?

Slide9: 

diffusion flux distance concentration c aq r c aq r 1 2 r 1 r 2 q a q Coarsening

Slide11: 

Fraction 565 °C

Slide12: 

Mole fraction 565 °C

Slide13: 

Mole fraction Cr Cr concentration in ferrite 565 °C

Slide14: 

c aq Concentration Distance c qa craq = caq + 2 caq s Va 1 - caq kT r cqa- caq Coarsening reduced if last term small

Slide15: 

Stability parameter caq (1 - caq ) cqa- caq Stability parameter =

Comparison: 

Comparison 0.15C-0.25Si-0.50Mn-2.3Cr-1Mo- 0.10Ni 0.10C-0.60Si-0.40Mn-9.0Cr-1Mo-0.00Ni 1056 °C for 12 h, 740 °C for 13 h

Slide17: 

2 3 4 5 6 0 50 100 150 200 log(time/ h) 9Cr1Mo 2.25Cr1Mo Creep rupture stress/ MPa

Slide18: 

Equilibrium precipitates Small interfacial energy (?) Small volume fraction Which precipitates are effective? Short term --> Long term data?

Slide21: 

non-linear functions

Slide26: 

Brun, Robson, Narayan, MacKay & Bhadeshia, 1998

Slide27: 

precipitates solid solution iron + microstructure 550 °C 600 °C Murugananth & Bhadeshia, 2001 105 h Creep Strength, 2.25Cr1Mo

Slide28: 

Murugananth & Bhadeshia, 2001 elements in solution

Slide29: 

Kimura et al., 2001

Slide31: 

Sourmail & Bhadeshia, 2004

Slide32: 

Data from Abe, Masuyama, Sawaragi and Kimura, 2004

Slide36: 

Difficult to achieve long-term stability using fine or metastable precipitates. Way forward is to avoid microstructure (Kimura, Abe) Extrapolation is optimal with neural networks