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    Classifying the Dimensional Variation in Additive Manufactured Parts From Laser-Scanned Three-Dimensional Point Cloud Data Using Machine Learning Approaches 

    Source: Journal of Manufacturing Science and Engineering:;2017:;volume( 139 ):;issue: 009:;page 91005
    Author(s): Samie Tootooni, M.; Dsouza, Ashley; Donovan, Ryan; Rao, Prahalad K.; Kong, Zhenyu (James); Borgesen, Peter
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The objective of this work is to develop and apply a spectral graph theoretic approach for differentiating between (classifying) additive manufactured (AM) parts contingent on the severity of their dimensional variation ...
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    Computational Fluid Dynamics Modeling and Online Monitoring of Aerosol Jet Printing Process 

    Source: Journal of Manufacturing Science and Engineering:;2017:;volume( 139 ):;issue: 002:;page 21015
    Author(s): Salary, Roozbeh (Ross); Lombardi, Jack P.; Samie Tootooni, M.; Donovan, Ryan; Rao, Prahalad K.; Borgesen, Peter; Poliks, Mark D.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The objectives of this paper in the context of aerosol jet printing (AJP)—an additive manufacturing (AM) process—are to: (1) realize in situ online monitoring of print quality in terms of line/electronic trace morphology; ...
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