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    Calibration of Cellular Automaton Model for Microstructure Prediction in Additive Manufacturing Using Dissimilarity Score 

    Source: Journal of Manufacturing Science and Engineering:;2023:;volume( 145 ):;issue: 006:;page 61002-1
    Author(s): Ghumman, Umar Farooq; Fang, Lichao; Wagner, Gregory J.; Chen, Wei
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Additive manufacturing (AM) simulations offer an alternative to expensive AM experiments to study the effects of processing conditions on granular microstructures. Existing AM simulations lack support from reliable validation ...
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    Scalable Adaptive Batch Sampling in Simulation-Based Design With Heteroscedastic Noise 

    Source: Journal of Mechanical Design:;2020:;volume( 143 ):;issue: 003:;page 031709-1
    Author(s): van Beek, Anton; Ghumman, Umar Farooq; Munshi, Joydeep; Tao, Siyu; Chien, TeYu; Balasubramanian, Ganesh; Plumlee, Matthew; Apley, Daniel; Chen, Wei
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this study, we propose a scalable batch sampling scheme for optimization of simulation models with spatially varying noise. The proposed scheme has two primary advantages: (i) reduced simulation cost by recommending ...
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