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Title: Three-Dimensional Additively Manufactured Microstructures and Their Mechanical Properties

Abstract

Metal additive manufacturing (AM) allows for the freeform creation of complex parts. However, AM microstructures are highly sensitive to the process parameters used. Resulting microstructures vary significantly from typical metal alloys in grain morphology distributions, defect populations and crystallographic texture. AM microstructures are often anisotropic and possess three-dimensional features. These microstructural features determine the mechanical properties of AM parts. Here, we reproduce three “canonical” AM microstructures from the literature and investigate their mechanical responses. Stochastic volume elements are generated with a kinetic Monte Carlo process simulation. A crystal plasticity-finite element model is then used to simulate plastic deformation of the AM microstructures and a reference equiaxed microstructure. Results demonstrate that AM microstructures possess significant variability in strength and plastic anisotropy compared with conventional equiaxed microstructures.

Authors:
ORCiD logo [1];  [1];  [2]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Dept. of Computational Materials and Data Science
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Dept. of Fluid and Reactive Processes
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1574438
Report Number(s):
SAND-2019-12098J
Journal ID: ISSN 1047-4838; 680146
Grant/Contract Number:  
AC04-94AL85000
Resource Type:
Accepted Manuscript
Journal Name:
JOM. Journal of the Minerals, Metals & Materials Society
Additional Journal Information:
Journal Volume: 72; Journal Issue: 1; Journal ID: ISSN 1047-4838
Publisher:
Springer
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; additive manufacturing; crystal plasticity; texture; mechanical properties

Citation Formats

Rodgers, Theron M., Lim, Hojun, and Brown, Judith Alice. Three-Dimensional Additively Manufactured Microstructures and Their Mechanical Properties. United States: N. p., 2019. Web. doi:10.1007/s11837-019-03808-x.
Rodgers, Theron M., Lim, Hojun, & Brown, Judith Alice. Three-Dimensional Additively Manufactured Microstructures and Their Mechanical Properties. United States. doi:10.1007/s11837-019-03808-x.
Rodgers, Theron M., Lim, Hojun, and Brown, Judith Alice. Wed . "Three-Dimensional Additively Manufactured Microstructures and Their Mechanical Properties". United States. doi:10.1007/s11837-019-03808-x. https://www.osti.gov/servlets/purl/1574438.
@article{osti_1574438,
title = {Three-Dimensional Additively Manufactured Microstructures and Their Mechanical Properties},
author = {Rodgers, Theron M. and Lim, Hojun and Brown, Judith Alice},
abstractNote = {Metal additive manufacturing (AM) allows for the freeform creation of complex parts. However, AM microstructures are highly sensitive to the process parameters used. Resulting microstructures vary significantly from typical metal alloys in grain morphology distributions, defect populations and crystallographic texture. AM microstructures are often anisotropic and possess three-dimensional features. These microstructural features determine the mechanical properties of AM parts. Here, we reproduce three “canonical” AM microstructures from the literature and investigate their mechanical responses. Stochastic volume elements are generated with a kinetic Monte Carlo process simulation. A crystal plasticity-finite element model is then used to simulate plastic deformation of the AM microstructures and a reference equiaxed microstructure. Results demonstrate that AM microstructures possess significant variability in strength and plastic anisotropy compared with conventional equiaxed microstructures.},
doi = {10.1007/s11837-019-03808-x},
journal = {JOM. Journal of the Minerals, Metals & Materials Society},
number = 1,
volume = 72,
place = {United States},
year = {2019},
month = {10}
}

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