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    A Computationally Assisted Methodology for Preference-Guided Conceptual Design 

    Source: Journal of Mechanical Design:;2010:;volume( 132 ):;issue: 012:;page 121003
    Author(s): Garrett J. Barnum; Christopher A. Mattson
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: We present an interactive, computationally assisted, methodology for capturing and incorporating designer preferences into a numerical search for design concepts. An initial pool of manually created ...
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    Metrics for Evaluating the Barrier and Time to Reverse Engineer a Product 

    Source: Journal of Mechanical Design:;2010:;volume( 132 ):;issue: 004:;page 41009
    Author(s): Stephen P. Harston; Christopher A. Mattson
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Reverse engineering, defined as extracting information about a product from the product itself, is a common industry practice for gaining insight into innovative products. Both the original ...
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    Propagating Skewness and Kurtosis Through Engineering Models for Low-Cost, Meaningful, Nondeterministic Design 

    Source: Journal of Mechanical Design:;2012:;volume( 134 ):;issue: 010:;page 100911
    Author(s): Travis V. Anderson; Christopher A. Mattson
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: System models help designers predict actual system output. Generally, variation in system inputs creates variation in system outputs. Designers often propagate variance through a system model by ...
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    Design Space Exploration for Quantifying a System Model’s Feasible Domain 

    Source: Journal of Mechanical Design:;2012:;volume( 134 ):;issue: 004:;page 41010
    Author(s): Brad J. Larson; Christopher A. Mattson
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A major challenge in multidisciplinary system design is predicting the effects of design decisions at the point these decisions are being made. Because decisions at the beginning of system ...
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    Hybrid Bishop-Hill Model for Elastic-Yield Limited Design With Non-orthorhombic Polycrystalline Metals 

    Source: Journal of Engineering Materials and Technology:;2012:;volume( 134 ):;issue: 001:;page 11003
    Author(s): Ribeka Takahashi; Dikshya Prasai; Brent L. Adams; Christopher A. Mattson
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A method is presented for adapting the classical Bishop-Hill model to the requirements of elastic/yield-limited design in metals of arbitrary crystallographic texture. The proposed Hybrid Bishop-Hill ...
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    Capitalizing on Heterogeneity and Anisotropy to Design Desirable Hardware That is Difficult to Reverse Engineer 

    Source: Journal of Mechanical Design:;2010:;volume( 132 ):;issue: 008:;page 81001
    Author(s): Stephen P. Harston; Christopher A. Mattson; Brent L. Adams
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a method for treating material microstructure (crystallographic grain size, orientation, and distribution) as design variables that can be manipulated—for common or exotic ...
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    Configuration Selection, Modeling, and Preliminary Testing in Support of Constant Force Electrical Connectors 

    Source: Journal of Electronic Packaging:;2007:;volume( 129 ):;issue: 003:;page 236
    Author(s): Brent L. Weight; Christopher A. Mattson; Spencer P. Magleby; Larry L. Howell
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The recent introduction and advancements in design of simple, constant-force mechanisms have created the potential for small-scale, low-cost, constant-force electronic connectors (CFECs). CFECs differ ...
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    Efficient Propagation of Error Through System Models for Functions Common in Engineering 

    Source: Journal of Mechanical Design:;2012:;volume( 134 ):;issue: 001:;page 14501
    Author(s): Travis V. Anderson; Christopher A. Mattson; Brad J. Larson; David T. Fullwood
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: System modeling can help designers make and verify design decisions early in the design process if the model’s accuracy can be determined. The formula typically used to analytically propagate ...
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