Modeling strength and failure variability due to porosity in additively manufactured metals

Khalil, Mohammad; Teichert, Gregory Herlin; Alleman, Coleman; Heckman, Nathan; Jones, Reese E.; Garikipati, Krishnakumar; Boyce, Brad

doi:10.1016/j.cma.2020.113471

Modeling strength and failure variability due to porosity in additively manufactured metals

Journal Article · Wed Oct 07 00:00:00 EDT 2020 · Computer Methods in Applied Mechanics and Engineering

DOI:https://doi.org/10.1016/j.cma.2020.113471· OSTI ID:1721605

Khalil, Mohammad ^[1]; Teichert, Gregory Herlin ^[2]; Alleman, Coleman ^[1]; Heckman, Nathan ^[3]; Jones, Reese E. ^[1]; Garikipati, Krishnakumar ^[2]; Boyce, Brad ^[3]

Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Univ. of Michigan, Ann Arbor, MI (United States)
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

To model and quantify the variability in plasticity and failure of additively manufactured metals due to imperfections in their microstructure, we have developed uncertainty quantification methodology based on pseudo marginal likelihood and embedded variability techniques. We account for both the porosity resolvable in computed tomography scans of the initial material and the sub-threshold distribution of voids through a physically motivated model. Calibration of the model indicates that the sub-threshold population of defects dominates the yield and failure response. Finally, the technique also allows us to quantify the distribution of material parameters connected to microstructural variability created by the manufacturing process, and, thereby, make assessments of material quality and process control.

View Accepted Manuscript (DOE)

Research Organization:: Sandia National Laboratories (SNL-CA), Livermore, CA (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: AC04-94AL85000

OSTI ID:: 1721605

Alternate ID(s):: OSTI ID: 1776281

Report Number(s):: SAND--2019-15461J; 682003

Journal Information:: Computer Methods in Applied Mechanics and Engineering, Journal Name: Computer Methods in Applied Mechanics and Engineering Vol. 373; ISSN 0045-7825

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Modeling strength and failure variability due to porosity in additively manufactured metals

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