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    Bi-Objective Optimization Design of Heterogeneous Injection Mold Cooling Systems 

    Source: Journal of Mechanical Design:;2001:;volume( 123 ):;issue: 002:;page 226
    Author(s): Jinhua Huang; Georges M. Fadel
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a two-step methodology for the bi-objective optimization design of heterogeneous injection mold cooling systems to achieve simultaneously fast and uniform cooling. During the ...
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    A GA Based Configuration Design Optimization Method 

    Source: Journal of Mechanical Design:;2004:;volume( 126 ):;issue: 001:;page 6
    Author(s): Pierre M. Grignon; Georges M. Fadel
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This work presents a methodology for optimizing multiple system level assembly characteristics of complex mechanical assemblies by placement of their components. It addresses any component shape ...
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    Design for Manufacturing of 3D Heterogeneous Objects With Processing Time Consideration 

    Source: Journal of Mechanical Design:;2008:;volume( 130 ):;issue: 003:;page 31701
    Author(s): Yuna Hu; Vincent Y. Blouin; Georges M. Fadel
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Rapid prototyping (RP) technology, such as laser engineering net shaping, can be used to fabricate heterogeneous objects with various levels of gradient variations in material composition. These ...
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    Energy Based Functional Decomposition in Preliminary Design 

    Source: Journal of Mechanical Design:;2011:;volume( 133 ):;issue: 005:;page 51011
    Author(s): Jérôme Pailhès; Mohammed Sallaou; Jean-Pierre Nadeau; Georges M. Fadel
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents an energy based approach to functional decomposition that is applicable to the top down design (system to subsystems to components) of mechanical systems. The paper shows ...
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    Design Under Uncertainty: Balancing Expected Performance and Risk 

    Source: Journal of Mechanical Design:;2010:;volume( 132 ):;issue: 011:;page 111009
    Author(s): James A. Reneke; Georges M. Fadel; Sundeep Samson; Dimitri Nowak; Margaret M. Wiecek
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The problem of quantifying uncertainty in the design process is approached indirectly. Nonquantifiable variability resulting from lack of knowledge is treated as epistemic uncertainty and quantifiable ...
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