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    Multiscale Tomographic Wave–Matter Interaction Modeling to Enable Artifact-Free Material Defect Reconstruction 

    Source: Journal of Computing and Information Science in Engineering:;2021:;volume( 021 ):;issue: 005:;page 050901-1
    Author(s): Steuben, John C.; Michopoulos, John G.; Iliopoulos, Athanasios P.; Graber, Benjamin D.; Birnbaum, Andrew J.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Technologies for material defect detection/metrology are often based on measuring the interactions between defects and waves. These interactions frequently create artifacts that skew the quantitative character of the ...
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    Evolution of Sliding Contact Wear Between Deformable Conducting Bodies via a Multiphysics Framework 

    Source: Journal of Computing and Information Science in Engineering:;2020:;volume( 020 ):;issue: 005:;page 051007-1
    Author(s): Michopoulos, John G.; Iliopoulos, Athanasios P.; Apetre, Nicole A.; Steuben, John C.; Birnbaum, Andrew J.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A multiphysics computational framework is introduced and exercised to predict the wear behavior of two deformable, heat-conducting bodies under conditions of sliding contact. This framework enables the solution of a coupled ...
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    Toward Feedback Control for Additive Manufacturing Processes Via Enriched Analytical Solutions 

    Source: Journal of Computing and Information Science in Engineering:;2019:;volume( 019 ):;issue: 003:;page 31009
    Author(s): Steuben, John C.; Birnbaum, Andrew J.; Iliopoulos, Athanasios P.; Michopoulos, John G.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Additive manufacturing (AM) enables the fabrication of objects using successive additions of mass and energy. In this paper, we explore the use of analytic solutions to model the thermal aspects of AM, in an effort to ...
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    Toward Feedback Control for Additive Manufacturing Processes Via Enriched Analytical Solutions 

    Source: Journal of Computing and Information Science in Engineering:;2019:;volume( 019 ):;issue: 003:;page 31009
    Author(s): Steuben, John C.; Birnbaum, Andrew J.; Iliopoulos, Athanasios P.; Michopoulos, John G.
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: Additive manufacturing (AM) enables the fabrication of objects using successive additions of mass and energy. In this paper, we explore the use of analytic solutions to model the thermal aspects of AM, in an effort to ...
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