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Title: Modeling mechanical behavior of an additively manufactured metal structure with local texture variations: a study on model form error

Abstract

Here, the repetitive rapid solidification that occurs in metal additive manufacturing (AM) processes creates microstructures distinctly different from wrought materials. Local variability in AM microstructures (either by design or unintentional) raises questions as to how AM structures should be modeled at the part-scale to minimize modeling error. The key goal of this work is to demonstrate a posteriori error estimation applied to an AM part. It is assumed that the actual microstructure is unknown and an approximate, spatially uniform material model is used. Error bounds are calculated for many reference models based on AM microstructures with elongated grain morphology and localized or global fiber textures during a post-processing step. The current findings promote confidence that a posteriori model form error estimation could be used effectively in mechanical performance simulations of AM parts to quickly obtain quantitative error metrics between an approximate model result and many microstructure-based reference models. The a posteriori error estimation introduces significant time savings compared to computing the full reference model solutions. Tight bounds on model form error are obtained when texture variations in the reference models occur on large length scales. For materials with property variation at small length scales, multi-scale error estimation techniques are neededmore » to properly account for the many interfaces present between areas with different properties.« less

Authors:
ORCiD logo [1]; ORCiD logo [1]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1492376
Report Number(s):
SAND-2018-13372J
Journal ID: ISSN 0965-0393; 670518
Grant/Contract Number:  
AC04-94AL85000
Resource Type:
Accepted Manuscript
Journal Name:
Modelling and Simulation in Materials Science and Engineering
Additional Journal Information:
Journal Volume: 27; Journal Issue: 2; Journal ID: ISSN 0965-0393
Publisher:
IOP Publishing
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; additive manufacturing; texture; mechanical properties; model form error; microstructure variability; a posteriori error estimation

Citation Formats

Brown, Judith Alice, and Bishop, Joseph E. Modeling mechanical behavior of an additively manufactured metal structure with local texture variations: a study on model form error. United States: N. p., 2019. Web. doi:10.1088/1361-651X/aaf107.
Brown, Judith Alice, & Bishop, Joseph E. Modeling mechanical behavior of an additively manufactured metal structure with local texture variations: a study on model form error. United States. https://doi.org/10.1088/1361-651X/aaf107
Brown, Judith Alice, and Bishop, Joseph E. Mon . "Modeling mechanical behavior of an additively manufactured metal structure with local texture variations: a study on model form error". United States. https://doi.org/10.1088/1361-651X/aaf107. https://www.osti.gov/servlets/purl/1492376.
@article{osti_1492376,
title = {Modeling mechanical behavior of an additively manufactured metal structure with local texture variations: a study on model form error},
author = {Brown, Judith Alice and Bishop, Joseph E.},
abstractNote = {Here, the repetitive rapid solidification that occurs in metal additive manufacturing (AM) processes creates microstructures distinctly different from wrought materials. Local variability in AM microstructures (either by design or unintentional) raises questions as to how AM structures should be modeled at the part-scale to minimize modeling error. The key goal of this work is to demonstrate a posteriori error estimation applied to an AM part. It is assumed that the actual microstructure is unknown and an approximate, spatially uniform material model is used. Error bounds are calculated for many reference models based on AM microstructures with elongated grain morphology and localized or global fiber textures during a post-processing step. The current findings promote confidence that a posteriori model form error estimation could be used effectively in mechanical performance simulations of AM parts to quickly obtain quantitative error metrics between an approximate model result and many microstructure-based reference models. The a posteriori error estimation introduces significant time savings compared to computing the full reference model solutions. Tight bounds on model form error are obtained when texture variations in the reference models occur on large length scales. For materials with property variation at small length scales, multi-scale error estimation techniques are needed to properly account for the many interfaces present between areas with different properties.},
doi = {10.1088/1361-651X/aaf107},
journal = {Modelling and Simulation in Materials Science and Engineering},
number = 2,
volume = 27,
place = {United States},
year = {Mon Jan 07 00:00:00 EST 2019},
month = {Mon Jan 07 00:00:00 EST 2019}
}

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Works referenced in this record:

Modeling of additive manufacturing processes for metals: Challenges and opportunities
journal, August 2017

  • Francois, M. M.; Sun, A.; King, W. E.
  • Current Opinion in Solid State and Materials Science, Vol. 21, Issue 4
  • DOI: 10.1016/j.cossms.2016.12.001

Metal Additive Manufacturing: A Review
journal, April 2014


The Roadmap for Additive Manufacturing and Its Impact
journal, March 2014

  • Bourell, David L.; Rosen, David W.; Leu, Ming C.
  • 3D Printing and Additive Manufacturing, Vol. 1, Issue 1
  • DOI: 10.1089/3dp.2013.0002

Fine-structured aluminium products with controllable texture by selective laser melting of pre-alloyed AlSi10Mg powder
journal, March 2013


Effects of process time interval and heat treatment on the mechanical and microstructural properties of direct laser deposited 316L stainless steel
journal, September 2015

  • Yadollahi, Aref; Shamsaei, Nima; Thompson, Scott M.
  • Materials Science and Engineering: A, Vol. 644
  • DOI: 10.1016/j.msea.2015.07.056

Evolution of solidification texture during additive manufacturing
journal, November 2015

  • Wei, H. L.; Mazumder, J.; DebRoy, T.
  • Scientific Reports, Vol. 5, Issue 1
  • DOI: 10.1038/srep16446

Highly Anisotropic Steel Processed by Selective Laser Melting
journal, May 2013

  • Niendorf, Thomas; Leuders, Stefan; Riemer, Andre
  • Metallurgical and Materials Transactions B, Vol. 44, Issue 4
  • DOI: 10.1007/s11663-013-9875-z

Texture control during laser deposition of nickel-based superalloy
journal, September 2012


Mechanical behavior of selective laser melted 316L stainless steel
journal, June 2017

  • Suryawanshi, Jyoti; Prashanth, K. G.; Ramamurty, U.
  • Materials Science and Engineering: A, Vol. 696
  • DOI: 10.1016/j.msea.2017.04.058

Energy input effect on morphology and microstructure of selective laser melting single track from metallic powder
journal, April 2013


Lattice Structures Manufactured by SLM: On the Effect of Geometrical Dimensions on Microstructure Evolution During Processing
journal, May 2014

  • Niendorf, Thomas; Brenne, Florian; Schaper, Mirko
  • Metallurgical and Materials Transactions B, Vol. 45, Issue 4
  • DOI: 10.1007/s11663-014-0086-z

Simulation and experimental comparison of the thermo-mechanical history and 3D microstructure evolution of 304L stainless steel tubes manufactured using LENS
journal, December 2017

  • Johnson, Kyle L.; Rodgers, Theron M.; Underwood, Olivia D.
  • Computational Mechanics, Vol. 61, Issue 5
  • DOI: 10.1007/s00466-017-1516-y

Characterization of an Aluminum Alloy Hemispherical Shell Fabricated via Direct Metal Laser Melting
journal, January 2016


On the fatigue crack growth behavior in 316L stainless steel manufactured by selective laser melting
journal, April 2014


Hardened austenite steel with columnar sub-grain structure formed by laser melting
journal, February 2015


Mean-field polycrystal plasticity modeling with grain size and shape effects for laser additive manufactured FCC metals
journal, May 2017


Site specific control of crystallographic grain orientation through electron beam additive manufacturing
journal, November 2014


Uncertainty quantification in prediction of material properties during additive manufacturing
journal, July 2017


Towards rapid qualification of powder-bed laser additively manufactured parts
journal, May 2016

  • Peralta, A. D.; Enright, M.; Megahed, M.
  • Integrating Materials and Manufacturing Innovation, Vol. 5, Issue 1
  • DOI: 10.1186/s40192-016-0052-5

Hierarchical modeling of heterogeneous bodies
journal, December 1996

  • Zohdi, Tarek I.; Oden, J. Tinsley; Rodin, Gregory J.
  • Computer Methods in Applied Mechanics and Engineering, Vol. 138, Issue 1-4
  • DOI: 10.1016/S0045-7825(96)01106-1

Analysis and adaptive modeling of highly heterogeneous elastic structures
journal, September 1997

  • Oden, J. Tinsley; Zohdi, Tarek I.
  • Computer Methods in Applied Mechanics and Engineering, Vol. 148, Issue 3-4
  • DOI: 10.1016/S0045-7825(97)00032-7

Adaptive hierarchical modeling of heterogeneous structures
journal, September 1999


Adaptive reduction of constitutive model-form error using a posteriori error estimation techniques
journal, October 2018

  • Bishop, Joseph E.; Brown, Judith A.
  • Computer Methods in Applied Mechanics and Engineering, Vol. 340
  • DOI: 10.1016/j.cma.2018.06.005

Monocrystal-Polycrystal Elastic Constants of a Stainless Steel
journal, September 1984


Direct numerical simulations in solid mechanics for understanding the macroscale effects of microscale material variability
journal, April 2015

  • Bishop, Joseph E.; Emery, John M.; Field, Richard V.
  • Computer Methods in Applied Mechanics and Engineering, Vol. 287
  • DOI: 10.1016/j.cma.2015.01.017

A review of predictive nonlinear theories for multiscale modeling of heterogeneous materials
journal, February 2017

  • Matouš, Karel; Geers, Marc G. D.; Kouznetsova, Varvara G.
  • Journal of Computational Physics, Vol. 330
  • DOI: 10.1016/j.jcp.2016.10.070

On the Anisotropic Mechanical Properties of Selective Laser-Melted Stainless Steel
journal, September 2017

  • Hitzler, Leonhard; Hirsch, Johann; Heine, Burkhard
  • Materials, Vol. 10, Issue 10
  • DOI: 10.3390/ma10101136

Multi-scale goal-oriented adaptive modeling of random heterogeneous materials
journal, August 2006


Principles of Solidification
journal, October 2011