Predicting mesoscale microstructural evolution in electron beam welding
Abstract
Using the kinetic Monte Carlo simulator, Stochastic Parallel PARticle Kinetic Simulator, from Sandia National Laboratories, a user routine has been developed to simulate mesoscale predictions of a grain structure near a moving heat source. Here, we demonstrate the use of this user routine to produce voxelized, synthetic, three-dimensional microstructures for electron-beam welding by comparing them with experimentally produced microstructures. When simulation input parameters are matched to experimental process parameters, qualitative and quantitative agreement for both grain size and grain morphology are achieved. The method is capable of simulating both single- and multipass welds. As a result, the simulations provide an opportunity for not only accelerated design but also the integration of simulation and experiments in design such that simulations can receive parameter bounds from experiments and, in turn, provide predictions of a resultant microstructure.
- Authors:
-
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1249090
- Report Number(s):
- SAND-2016-1771J
Journal ID: ISSN 1047-4838; PII: 1863
- Grant/Contract Number:
- AC04-94AL85000
- Resource Type:
- Accepted Manuscript
- Journal Name:
- JOM. Journal of the Minerals, Metals & Materials Society
- Additional Journal Information:
- Journal Volume: 68; Journal Issue: 5; Journal ID: ISSN 1047-4838
- Publisher:
- Springer
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE; kinetic Monte Carlo; microstructure; electron beam welding; mesoscale
Citation Formats
Rodgers, Theron M., Madison, Jonathan D., Tikare, Veena, and Maguire, Michael C. Predicting mesoscale microstructural evolution in electron beam welding. United States: N. p., 2016.
Web. doi:10.1007/s11837-016-1863-8.
Rodgers, Theron M., Madison, Jonathan D., Tikare, Veena, & Maguire, Michael C. Predicting mesoscale microstructural evolution in electron beam welding. United States. https://doi.org/10.1007/s11837-016-1863-8
Rodgers, Theron M., Madison, Jonathan D., Tikare, Veena, and Maguire, Michael C. Wed .
"Predicting mesoscale microstructural evolution in electron beam welding". United States. https://doi.org/10.1007/s11837-016-1863-8. https://www.osti.gov/servlets/purl/1249090.
@article{osti_1249090,
title = {Predicting mesoscale microstructural evolution in electron beam welding},
author = {Rodgers, Theron M. and Madison, Jonathan D. and Tikare, Veena and Maguire, Michael C.},
abstractNote = {Using the kinetic Monte Carlo simulator, Stochastic Parallel PARticle Kinetic Simulator, from Sandia National Laboratories, a user routine has been developed to simulate mesoscale predictions of a grain structure near a moving heat source. Here, we demonstrate the use of this user routine to produce voxelized, synthetic, three-dimensional microstructures for electron-beam welding by comparing them with experimentally produced microstructures. When simulation input parameters are matched to experimental process parameters, qualitative and quantitative agreement for both grain size and grain morphology are achieved. The method is capable of simulating both single- and multipass welds. As a result, the simulations provide an opportunity for not only accelerated design but also the integration of simulation and experiments in design such that simulations can receive parameter bounds from experiments and, in turn, provide predictions of a resultant microstructure.},
doi = {10.1007/s11837-016-1863-8},
journal = {JOM. Journal of the Minerals, Metals & Materials Society},
number = 5,
volume = 68,
place = {United States},
year = {Wed Mar 16 00:00:00 EDT 2016},
month = {Wed Mar 16 00:00:00 EDT 2016}
}
Web of Science
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