A modular spectral solver for crystal plasticity

Dadhich, Ritesh; Alankar, Alankar

doi:10.1016/j.ijplas.2022.103328

Cited by 11 publications

(3 citation statements)

References 88 publications

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“…The evolution of the average sizes of pre-existing/old grains (Grain IDs 1 to 1000) and new nuclei at all temperatures are shown in figure 11. The pre-existing grains keep refining with deformation as their dislocation density is greater than the average value, thereby causing grain shrinkage in accordance with equation (18). The new DRX grains (blue curves) keep growing until their dislocation density exceeds the average value over all grains, and then they also shrink because the driving force for growth is reversed.…”

Section: Grain Size Evolutionmentioning

confidence: 77%

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Evaluating the influence of deformation variables on dynamic recrystallization behavior using a crystal plasticity model

Chatterjee

Murty

Alankar

2023

Modelling Simul. Mater. Sci. Eng.

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The present study is an attempt to model dynamic recrystallization (DRX) in a single phase metal using a mean field crystal plasticity (MFCP) based approach. A new empirical equation is proposed to model nucleation, in which the nucleation rate is a function ofmicrostructure and plasticity descriptors that are known to affect DRX behavior, such as the temperature, strain rate, grain fineness and stored energy. Grains undergo nucleation when their dislocation density exceeds a threshold value. Subsequently, new grains grow based on the difference in stored deformation energy with respect to the average value over all grains. The MFCP-DRX model is able to correctly predict trends for the flow stress, dislocation density evolution, grain size evolution and kinetics across a range of temperatures and strainrates for uniaxial compression. Transition of the flow stress from single to multiple peaks is observed with increasing temperature and decreasing strain rate, thus comparing well against known DRX trends. The evolutions of crystallographic texture during DRX in unaxialcompression and plane strain compression are compared against experimental observations. A sensitivity analysis is conducted to understand the effect of variables on nucleation and growth. The competition between nucleation and growth dominated deformation in different strain regimes is analyzed in detail across various temperatures and strain rates.

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Section: Grain Size Evolutionmentioning

confidence: 77%

“…Furthermore, MFH approaches are reasonably accurate for a large number of grains. A detailed comparison of the advantages and disadvantages of both approaches is presented in the work of Segurado et al [17] and Dadhich and Alankar [18].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the influence of deformation variables on dynamic recrystallization behavior using a crystal plasticity model

Chatterjee

Murty

Alankar

2023

Modelling Simul. Mater. Sci. Eng.

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“…Mean-field models treat each single crystal grain as an ellipsoidal that embeds in and interacts only with the homogeneous effective medium. On the other hand, full-field models such as the crystal plasticity finite element (CPFE) model (Azhari et al, 2022;Chen et al, 2019;Li et al, 2020b;Zhang et al, 2022) and CPFFT model (Dadhich and Alankar, 2022;Sedighiani et al, 2020;Sedighiani et al, 2021) can directly use real grain microstructure as input, spatially resolve the grains, and calculate the mechanical fields in all grains. As a result, the grain-grain interactions and mechanical fields within grains and across grain boundaries can be investigated.…”

Section: Crystal Plasticity Modeling Based On Dislocation Densitymentioning

confidence: 99%