“…In the present work the code used to construct the necessary input data (in Python [17] ) with the code used to calculate the slip distance (in Fortran) are outlined. An additional output of the Fortran code is the Luster-Morris parameter [11] which can also be used in crystal plasticity constitutive models as demonstrated in [1] . RVEs employing the length scale size dependence can be synthetically built using DREAM.3D [10] , with details on the DREAM.3D constructed grains fed into the Python code.…”
Section: Methods Detailsmentioning
confidence: 99%
“… Fig. 1 Integration of software to construct the input data required for the Fortran length scale code which outputs information (ldistance, rdistance, lm) to be applied in crystal plasticity constitutive models found in [1] . …”
Section: Methods Detailsmentioning
confidence: 99%
“…The specifics of how the length scale dependent subroutine presented here integrates with classical crystal plasticity theory can be found in [1] . The tools presented facilitates implementation in both finite element methods and spectra methods based on Fast Fourier Transforms.…”
Section: Methods Detailsmentioning
confidence: 99%
“…The magnitude of this vector ( ) is also calculated to extract the distance from the current voxel to the boundary. This is an additional output not utilised in the crystal plasticity constitutive models in [1] but can be used is in alternate crystal plasticity constitutive models.…”
Section: Methods Detailsmentioning
confidence: 99%
“…The calculation procedure described above is implemented in a Fortran subroutine which can be found in the supplementary information and [12] . This subroutine can be added to crystal plasticity code which can then use the calculated outputs from the subroutine in the underlying constitutive equations, as demonstrated in [1] . The inputs and outputs of this subroutine are listed in Table 2 .…”
“…In the present work the code used to construct the necessary input data (in Python [17] ) with the code used to calculate the slip distance (in Fortran) are outlined. An additional output of the Fortran code is the Luster-Morris parameter [11] which can also be used in crystal plasticity constitutive models as demonstrated in [1] . RVEs employing the length scale size dependence can be synthetically built using DREAM.3D [10] , with details on the DREAM.3D constructed grains fed into the Python code.…”
Section: Methods Detailsmentioning
confidence: 99%
“… Fig. 1 Integration of software to construct the input data required for the Fortran length scale code which outputs information (ldistance, rdistance, lm) to be applied in crystal plasticity constitutive models found in [1] . …”
Section: Methods Detailsmentioning
confidence: 99%
“…The specifics of how the length scale dependent subroutine presented here integrates with classical crystal plasticity theory can be found in [1] . The tools presented facilitates implementation in both finite element methods and spectra methods based on Fast Fourier Transforms.…”
Section: Methods Detailsmentioning
confidence: 99%
“…The magnitude of this vector ( ) is also calculated to extract the distance from the current voxel to the boundary. This is an additional output not utilised in the crystal plasticity constitutive models in [1] but can be used is in alternate crystal plasticity constitutive models.…”
Section: Methods Detailsmentioning
confidence: 99%
“…The calculation procedure described above is implemented in a Fortran subroutine which can be found in the supplementary information and [12] . This subroutine can be added to crystal plasticity code which can then use the calculated outputs from the subroutine in the underlying constitutive equations, as demonstrated in [1] . The inputs and outputs of this subroutine are listed in Table 2 .…”
Metal additive manufacturing (AM) has the potential to tailor the mechanical performance of materials. Due to the complex thermal history and unique microstructure, AM materials are reported to contain distinct dislocation networks with a high dislocation density, which affect the plastic deformation behavior and fracture. However, it is challenging to experimentally observe the formation of such dislocation structures. In this work, a multi-scale multi-physics crystal plasticity modeling framework that integrates the process-structure-property relationship in metal AM is developed. The temperature field obtained from thermal-fluid flow simulations of the AM process and the microstructure from the phase field model of grain growth are combined into thermo-mechanical crystal plasticity simulations to obtain grain-scale thermal stresses. These stresses are used as input to simulate the evolution of dislocation structures within individual grains. Taking AM 316L stainless steel as the material of interest, the effect of initial dislocation configuration on the slip plane and cross-slip mechanism on the dislocation structure formation are investigated. Furthermore, a phase field damage model is implemented to study the initiation of microscale damage and their relationship with dislocation structures, which is a main novelty of this work. This modeling framework provides comprehensive simulations of all aspects of metal AM and offers insights into the dislocation mechanisms and damage formation at microscale in AM materials, which could be used to guide the manipulation of the mechanical properties of AM materials.
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