Additive manufacturing (AM) processes for metals can yield as-built microstructures that vary significantly from their cast or wrought counterparts. These microstructural variations can in turn, have profound effects on the properties of a component. Here, a modeling methodology is presented to investigate microstructurally-influenced mechanical response in additively manufactured structures via direct numeral simulation. Three-dimensional, synthetic voxelized microstructures are generated by kinetic Monte Carlo (kMC) additive manufacturing process simulations performed at four scan speeds to create a thin-wall cylindrical geometry notionally constructed using a concentric-pathed directed energy deposition AM process. The kMC simulations utilize a steady-state molten pool geometry that is held constant throughout the study. Resultant microstructures are mapped onto a highly-refined conformal finite-element mesh of a part geometry. A grain-scale anisotropic crystal elasticity model is then used to represent the constitutive response of each grain. Here, the response of the structure subjected to relatively simple load conditions is studied in order to provide understanding of both the influence of AM processing on microstructure as well as the microstructure's influence on the macroscale mechanical response.
Rodgers, Theron M., et al. "Direct numerical simulation of mechanical response in synthetic additively manufactured microstructures." Modelling and Simulation in Materials Science and Engineering, vol. 26, no. 5, Jun. 2018. https://doi.org/10.1088/1361-651X/aac616
Rodgers, Theron M., Bishop, Joseph E., & Madison, Jonathan D. (2018). Direct numerical simulation of mechanical response in synthetic additively manufactured microstructures. Modelling and Simulation in Materials Science and Engineering, 26(5). https://doi.org/10.1088/1361-651X/aac616
Rodgers, Theron M., Bishop, Joseph E., and Madison, Jonathan D., "Direct numerical simulation of mechanical response in synthetic additively manufactured microstructures," Modelling and Simulation in Materials Science and Engineering 26, no. 5 (2018), https://doi.org/10.1088/1361-651X/aac616
@article{osti_1459990,
author = {Rodgers, Theron M. and Bishop, Joseph E. and Madison, Jonathan D.},
title = {Direct numerical simulation of mechanical response in synthetic additively manufactured microstructures},
annote = {Additive manufacturing (AM) processes for metals can yield as-built microstructures that vary significantly from their cast or wrought counterparts. These microstructural variations can in turn, have profound effects on the properties of a component. Here, a modeling methodology is presented to investigate microstructurally-influenced mechanical response in additively manufactured structures via direct numeral simulation. Three-dimensional, synthetic voxelized microstructures are generated by kinetic Monte Carlo (kMC) additive manufacturing process simulations performed at four scan speeds to create a thin-wall cylindrical geometry notionally constructed using a concentric-pathed directed energy deposition AM process. The kMC simulations utilize a steady-state molten pool geometry that is held constant throughout the study. Resultant microstructures are mapped onto a highly-refined conformal finite-element mesh of a part geometry. A grain-scale anisotropic crystal elasticity model is then used to represent the constitutive response of each grain. Here, the response of the structure subjected to relatively simple load conditions is studied in order to provide understanding of both the influence of AM processing on microstructure as well as the microstructure's influence on the macroscale mechanical response.},
doi = {10.1088/1361-651X/aac616},
url = {https://www.osti.gov/biblio/1459990},
journal = {Modelling and Simulation in Materials Science and Engineering},
issn = {ISSN 0965-0393},
number = {5},
volume = {26},
place = {United States},
publisher = {IOP Publishing},
year = {2018},
month = {06}}
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
AC04-94AL85000
OSTI ID:
1459990
Report Number(s):
SAND2018-5362J; 663276
Journal Information:
Modelling and Simulation in Materials Science and Engineering, Journal Name: Modelling and Simulation in Materials Science and Engineering Journal Issue: 5 Vol. 26; ISSN 0965-0393
