Center for Computing Research (CCR)
Center for Computing Research (CCR)

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Predicting mesoscale microstructural evolution in electron beam welding

JOM. Journal of the Minerals, Metals & Materials Society

Rodgers, Theron M.; Madison, Jonathan D.; Tikare, Veena; Maguire, Michael C.

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.

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TYPE Journal Article YEAR 2016
DOIOSTI

Hybrid models for the simulation of microstructural evolution influenced by coupled, multiple physical processes

Tikare, Veena; Hernandez-Rivera, Efrain; Madison, Jonathan D.; Winchester, Benjamin M.

Most materials microstructural evolution processes progress with multiple processes occurring simultaneously. In this work, we have concentrated on the processes that are active in nuclear materials, in particular, nuclear fuels. These processes are coarsening, nucleation, differential diffusion, phase transformation, radiation-induced defect formation and swelling, often with temperature gradients present. All these couple and contribute to evolution that is unique to nuclear fuels and materials. Hybrid model that combines elements from the Potts Monte Carlo, phase-field models and others have been developed to address these multiple physical processes. These models are described and applied to several processes in this report. An important feature of the models developed are that they are coded as applications within SPPARKS, a Sandiadeveloped framework for simulation at the mesoscale of microstructural evolution processes by kinetic Monte Carlo methods. This makes these codes readily accessible and adaptable for future applications.

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TYPE SAND Report YEAR 2013
DOIOSTIDOIOSTI
Results 51–70 of 70
Results 51–70 of 70
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