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    Validation Study of a Computer-Aided Design Augmentation Tool for Cost Estimation1 

    Source: ASME Open Journal of Engineering:;2023:;volume( 002 ):;page 21019-1
    Author(s): Patel, Apurva; Ortiz, Joshua; Summers, Joshua D.; Mathieson, James L.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: While fundamentals of DFMA (design for manufacturing and assembly) are widely accepted and used in the engineering community, many CAD environments lack tools that address manufacturing concerns by providing rapid feedback ...
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    Evaluating the Use of Artificial Neural Networks and Graph Complexity to Predict Automotive Assembly Quality Defects 

    Source: Journal of Computing and Information Science in Engineering:;2017:;volume( 017 ):;issue: 003:;page 31017
    Author(s): Patel, Apurva; Andrews, Patrick; Summers, Joshua D.; Harrison, Erin; Schulte, Joerg; Laine Mears, M.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents the use of subassembly models instead of the entire assembly model to predict assembly quality defects at an automotive original equipment manufacturer (OEM). Specifically, artificial neural networks ...
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    Function Modeling: A Modeling Behavior Analysis of Pause Patterns 

    Source: Journal of Mechanical Design:;2020:;volume( 142 ):;issue: 011:;page 0111402-1
    Author(s): Patel, Apurva; Kramer, William S.; Flynn, Michelle; Summers, Joshua D.; Shuffler, Marissa L.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a behavior-based protocol study conducted with mechanical engineering students, where the participants developed function–structure models for a novel design problem. A modeling activity video was ...
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