Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2021Simulation of powder bed metal additive manufacturing microstructures with coupled finite difference-Monte Carlo method71citations
  • 2021A coupled fluid-mechanical workflow to simulate the directed energy deposition additive manufacturing process11citations

Places of action

Chart of shared publication
Rodgers, Theron M.
1 / 1 shared
Jared, Bradley H.
1 / 8 shared
Mitchell, John A.
1 / 3 shared
Jackson, Olivia D. Underwood
1 / 1 shared
Carroll, Jay D.
1 / 2 shared
Bolintineanu, Dan S.
1 / 1 shared
Madison, Jonathan D.
1 / 6 shared
Abdeljawad, Fadi
1 / 2 shared
Stender, Michael
1 / 2 shared
Beghini, Lauren L.
1 / 2 shared
Trembacki, Bradley L.
1 / 1 shared
Veilleux, Michael G.
1 / 1 shared
Ford, Kurtis R.
1 / 1 shared
Chart of publication period
2021

Co-Authors (by relevance)

  • Rodgers, Theron M.
  • Jared, Bradley H.
  • Mitchell, John A.
  • Jackson, Olivia D. Underwood
  • Carroll, Jay D.
  • Bolintineanu, Dan S.
  • Madison, Jonathan D.
  • Abdeljawad, Fadi
  • Stender, Michael
  • Beghini, Lauren L.
  • Trembacki, Bradley L.
  • Veilleux, Michael G.
  • Ford, Kurtis R.
OrganizationsLocationPeople

article

A coupled fluid-mechanical workflow to simulate the directed energy deposition additive manufacturing process

  • Stender, Michael
  • Beghini, Lauren L.
  • Trembacki, Bradley L.
  • Veilleux, Michael G.
  • Moser, Daniel
  • Ford, Kurtis R.
Abstract

Simulation of additive manufacturing processes can provide essential insight into material behavior, residual stress, and ultimately, the performance of additively manufactured parts. In this work, we describe a new simulation based workflow utilizing both solid mechanics and fluid mechanics based formulations within the finite element software package SIERRA (Sierra Solid Mechanics Team in Sierra/Solid Mechanics 4.52 User’s Guide SAND2019-2715. Technical report, Sandia National Laboratories, 2011) to enable integrated simulations of directed energy deposition (DED) additive manufacturing processes. In this methodology, a high-fidelity fluid mechanics based model of additive manufacturing is employed as the first step in a simulation workflow. This fluid model uses a level set field to track the location of the boundary between the solid material and background gas and precisely predicts temperatures and material deposition shapes from additive manufacturing process parameters. Next, the resulting deposition shape and temperature field from the fluid model are then mapped into a solid mechanics formulation to provide a more accurate surface topology for radiation and convection boundary conditions and a prescribed temperature field. Solid mechanics simulations are then conducted to predict the evolution of material stresses and microstructure within a part. By combining thermal history and deposition shape from fluid mechanics with residual stress and material property evolutions from solid mechanics, additional fidelity and precision are incorporated into additive manufacturing process simulations providing new insight into complex DED builds.

Topics
  • Deposition
  • impedance spectroscopy
  • microstructure
  • surface
  • simulation
  • directed energy deposition
  • level set