Application of a physically-based dislocation creep model to P92 for constructing TTR diagrams

Riedlsperger, Florian; Zuderstorfer, Gerold; Krenmayr, Bernhard; Sonderegger, Bernhard

doi:10.1080/09603409.2022.2037326

Cited by 3 publications

(7 citation statements)

References 16 publications

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“…Furthermore, the precipitate simulations have been improved (mod. Z-phase nucleates after several thousand hours in contrast to the reference [8]). In Riedlsperger et al [8], only TTR data for 650°C and 600°C were calculated.…”

Section: Creep Model Of the Imk (Institute Of Engineering Materials -...mentioning

confidence: 71%

“…Z-phase nucleates after several thousand hours in contrast to the reference [8]). In Riedlsperger et al [8], only TTR data for 650°C and 600°C were calculated. In this work, TTR data for 625°C were additionally simulated.…”

Section: Creep Model Of the Imk (Institute Of Engineering Materials -...mentioning

confidence: 71%

“…The IMK dislocation creep model was developed with the benchmark material P91 and has so far been successfully applied to 5 different materials, including P92 [8]. In Riedlsperger et al [8], an older version of our model was used (2022). The main difference between the previous publication and the present work is an updated damage model.…”

Section: Creep Model Of the Imk (Institute Of Engineering Materials -...mentioning

confidence: 99%

“…The results (radius ri and number density Nv,i) were then imported into the creep equation framework to combine the two simulations. The composition used for P92 is shown in Table 1, adopted from Riedlsperger et al [8] (except B) according to ASTM A335 [12]. The virtual heat treatment consisted of normalising at 1050°C for 30 min and tempering at 765°C for 1 h [8].…”

Section: Model Setup: Precipitation Kinetic Simulation With Matcalcmentioning

confidence: 99%

“…The composition used for P92 is shown in Table 1, adopted from Riedlsperger et al [8] (except B) according to ASTM A335 [12]. The virtual heat treatment consisted of normalising at 1050°C for 30 min and tempering at 765°C for 1 h [8]. M23C6, Laves-phase, MX carbo-nitrides (split into VN and NbC), AlN and the modified Z-phase CrVN were considered in the simulation.…”

Section: Model Setup: Precipitation Kinetic Simulation With Matcalcmentioning

confidence: 99%

See 4 more Smart Citations

Prediction of TTR Diagrams via Physically Based Creep Simulations of Martensitic 9-12% Cr-Steels

Witzmann,

Riedlsperger,

Mergl

et al. 2023

MSF

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This work deals with the prediction of time-to-rupture (TTR) diagrams of martensitic 9-12% Cr steels. Martensitic 9-12% Cr steels are state of the art materials for powerplants due to their high creep strength and oxidation resistance. Since the experimental determination of TTR diagrams is costly and time-expensive (minimum 10 years), it is of particular interest to be able to model TTR diagrams and gradually replace experiments. Here, we approach the question to what extent we can generate a TTR diagram of a material out of a fraction of experimental results plus detailed understanding of the underlying microstructural/physical phenomena during creep. Our model is based on dislocation creep and includes multiple interactions between the microstructural constituents. We show the applicability of our approach by reproducing a TTR diagram of the well-known material P92. Input parameters are basic material data from literature, the starting microstructure before creep, chemical composition, some model parameters determined on the similar material P91, and one single creep curve of P92. The precipitate evolution is simulated by the software MatCalc, the other microstructural constituents (dislocation densities, subgrain boundaries etc.) by our creep model. By varying the stress between individual creep simulations whilst keeping all input parameters (starting microstructure, temperature and material parameters) constant, we produce multiple creep curves and thus generate the complete dataset for a TTR diagram. The model is of particular interest when it comes to the development of new materials, as the application range of these materials can be estimated quickly and with good reproducibility.

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Section: Creep Model Of the Imk (Institute Of Engineering Materials -...mentioning

confidence: 71%

Section: Creep Model Of the Imk (Institute Of Engineering Materials -...mentioning

confidence: 71%

Section: Creep Model Of the Imk (Institute Of Engineering Materials -...mentioning

confidence: 99%

Section: Model Setup: Precipitation Kinetic Simulation With Matcalcmentioning

confidence: 99%

Section: Model Setup: Precipitation Kinetic Simulation With Matcalcmentioning

confidence: 99%

See 3 more Smart Citations

Prediction of TTR Diagrams via Physically Based Creep Simulations of Martensitic 9-12% Cr-Steels

Witzmann,

Riedlsperger,

Mergl

et al. 2023

MSF

View full text Add to dashboard Cite

show abstract

CreeSo – software for creep simulation of complex alloys

Zuderstorfer

Riedlsperger

Sonderegger

2022

Materials at High Temperatures

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Recent progress in the microstructurally based creep modelling of Ni-based alloy 617

Riedlsperger,

Wojcik,

Buzolin

et al. 2023

Materials at High Temperatures

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Application of a physically-based dislocation creep model to P92 for constructing TTR diagrams

Cited by 3 publications

References 16 publications

Prediction of TTR Diagrams via Physically Based Creep Simulations of Martensitic 9-12% Cr-Steels

Prediction of TTR Diagrams via Physically Based Creep Simulations of Martensitic 9-12% Cr-Steels

CreeSo – software for creep simulation of complex alloys

Recent progress in the microstructurally based creep modelling of Ni-based alloy 617

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