Analytical modeling of the thermomechanical behavior of ASTM F-1586 high nitrogen austenitic stainless steel used as a biomaterial under multipass deformation

Bernardes, Fabiano R.; Rodrigues, Samuel Filgueiras; Silva, Eden S.; Reis, Gedeon Silva; Silva, Mariana B.R.; M.J., Alberto; Balancin, Oscar

doi:10.1016/j.msec.2015.02.040

Cited by 12 publications

(2 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This anchoring of precipitates at the grain boundaries hinders SRX grain nucleation, thus temporarily inhibiting its onset and development. However, coarse precipitates can impair mechanical properties, as has been reported in the literature [48].…”

Section: Microstructural Featuresmentioning

confidence: 70%

Optimization of Thermomechanical Processing under Double-Pass Hot Compression Tests of a High Nb and N-Bearing Austenitic Stainless-Steel Biomaterial Using Artificial Neural Networks

Sulzbach

Rodrigues

et al. 2022

Metals

Self Cite

View full text Add to dashboard Cite

Physical simulation is a useful tool for examining the events that occur during the multiple stages of thermomechanical processing, since it requires no industrial equipment. Instead, it involves hot deformation testing in the laboratory, similar to industrial-scale processes, such as controlled hot rolling and forging, but under different conditions of friction and heat transfer. Our purpose in this work was to develop an artificial neural network (ANN) to optimize the thermomechanical behavior of stainless-steel biomaterial in a double-pass hot compression test, adapted to the Arrhenius–Avrami constitutive model. The method consists of calculating the static softening fraction (Xs) and mean recrystallized grain size (ds), implementing an ANN based on data obtained from hot compression tests, using a vacuum chamber in a DIL 805A/D quenching dilatometer at temperatures of 1000, 1050, 1100 and 1200 °C, in passes (ε1 = ε2) of 0.15 and 0.30, a strain rate of 1.0 s−1 and time between passes (tp) of 1, 10, 100, 400, 800 and 1000 s. The constitutive analysis and the experimental and ANN-simulated results were in good agreement, indicating that ASTM F-1586 austenitic stainless steel used as a biomaterial undergoes up to Xs = 40% of softening due solely to static recovery (SRV) in less than 1.0 s interval between passes (tp), followed by metadynamic recrystallization (MDRX) at strains greater than 0.30. At T > 1050 °C, the behavior of the softening curves Xs vs. tp showed the formation of plateaus for long times between passes (tp), delaying the softening kinetics and modifying the profile of the curves produced by the moderate stacking fault energy, γsfe = 69 mJ/m2 and the strain-induced interaction between recrystallization and precipitation (Z-phase). Thus, the use of this ANN allows one to optimize the ideal thermomechanical parameters for distribution and refinement of grains with better mechanical properties.

show abstract

Section: Microstructural Featuresmentioning

confidence: 70%

Optimization of Thermomechanical Processing under Double-Pass Hot Compression Tests of a High Nb and N-Bearing Austenitic Stainless-Steel Biomaterial Using Artificial Neural Networks

Sulzbach

Rodrigues

et al. 2022

Metals

Self Cite

View full text Add to dashboard Cite

show abstract

“…Hot torsion simulations of a multipass deformation process after solutionizing heat treatment at 1523 K (1250°C) for 300 seconds during continuous cooling showed that the highest non-recrystallization temperature of about 1398 K (1125°C) was achieved with an interpass time of 30 seconds. [13] The changes in non-recrystallization temperature with interpass time were attributed to the interaction between the recrystallization process and precipitation of tetragonal CrNbN Z-phase [14] ; shorter interpass times lead to incomplete precipitation, while precipitates coarsen during longer interpass times. Multipass deformation above the non-recrystallization temperature with a short interpass time results in a microstructure comprised of fine grain grains and a distribution of fine precipitates [15,16] ; fine intragranular Z-phase precipitate increase strength.…”

Section: Introductionmentioning

confidence: 99%

Microstructure Evolution During Hot Deformation of REX734 Austenitic Stainless Steel

Kulakov

Huang

Ntovas

et al. 2019

Metall Mater Trans A

View full text Add to dashboard Cite

Mechanical properties of a REX734 austenitic stainless steel were examined through compression testing over a wide range of temperatures (1173 K to 1373 K (900 °C to 1100 °C)) and strain rates (0.1 to 40 s−1) that cover deformation conditions encountered in different metalworking processes. The evolution of microstructure was studied using electron microscopy combined with electron backscatter diffraction and energy-dispersive spectroscopy. Partially recrystallized microstructures were obtained after compression testing at 1173 K (900 °C), while after deformation at 1273 K and 1373 K (1000 °C and 1100 °C), the material was fully recrystallized almost in all examined cases. The role of dynamic and metadynamic restoration processes in the formation of final microstructure was investigated. Σ3 twin boundaries lost their twin character and transformed into general high-angle grain boundaries as a result of deformation, while during recrystallization new Σ3 twin boundaries formed. The evolution of precipitates during compression testing and their role in the recrystallization process was also discussed.

show abstract

Thermomechanical Behavior of Biocompatible Austenitic Stainless Steels during Simulated Torsion Tests

Aquino

Silva

Rodrigues

et al. 2019

J. of Materi Eng and Perform

View full text Add to dashboard Cite

Analytical modeling of the thermomechanical behavior of ASTM F-1586 high nitrogen austenitic stainless steel used as a biomaterial under multipass deformation

Cited by 12 publications

References 17 publications

Optimization of Thermomechanical Processing under Double-Pass Hot Compression Tests of a High Nb and N-Bearing Austenitic Stainless-Steel Biomaterial Using Artificial Neural Networks

Optimization of Thermomechanical Processing under Double-Pass Hot Compression Tests of a High Nb and N-Bearing Austenitic Stainless-Steel Biomaterial Using Artificial Neural Networks

Microstructure Evolution During Hot Deformation of REX734 Austenitic Stainless Steel

Thermomechanical Behavior of Biocompatible Austenitic Stainless Steels during Simulated Torsion Tests

Contact Info

Product

Resources

About