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    Physics Based Reasoning in Conceptual Design Using a Formal Representation of Function Structure Graphs 

    Source: Journal of Computing and Information Science in Engineering:;2013:;volume( 013 ):;issue: 001:;page 11008
    Author(s): Sen, Chiradeep; Summers, Joshua D.; Mocko, Gregory M.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper validates that a previously published formal representation of function structure graphs actually supports the reasoning that motivated its development in the first place. In doing so, it presents the algorithms ...
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    A Formal Representation of Function Structure Graphs for Physics Based Reasoning 

    Source: Journal of Computing and Information Science in Engineering:;2013:;volume( 013 ):;issue: 002:;page 21001
    Author(s): Sen, Chiradeep; Summers, Joshua D.; Mocko, Gregory M.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The paper presents a formal representation for modeling function structure graphs in a consistent, grammatically controlled manner, and for performing conservationbased formal reasoning on those models. The representation ...
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    Unified System Modeling and Simulation via Constraint Hypergraphs 

    Source: Journal of Computing and Information Science in Engineering:;2025:;volume( 025 ):;issue: 006:;page 61005-1
    Author(s): Morris, John; Mocko, Gregory; Wagner, John
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This article describes the theory behind constraint hypergraphs: a novel modeling framework that can be used to universally represent and simulate complex systems. Multi-domain system models are traditionally compiled from ...
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    Manufacturing Assembly Time Estimation Using Structural Complexity Metric Trained Artificial Neural Networks 

    Source: Journal of Computing and Information Science in Engineering:;2014:;volume( 014 ):;issue: 001:;page 11005
    Author(s): Miller, Michael G.; Summers, Joshua D.; Mathieson, James L.; Mocko, Gregory M.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Assembly time estimation is traditionally a timeintensive manual process that requires detailed geometric and process information, which is often subjective and qualitative in nature. As a result, assembly time estimation ...
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