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    Stochastic Modeling and Analysis of Spindle Power During Hard Milling With a Focus on Tool Wear 

    Source: Journal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 011:;page 111011
    Author(s): Wang, Xingtao; Williams, Robert E.; Sealy, Michael P.; Rao, Prahalad K.; Guo, Yuebin
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The rapid development of modern science and technology brings with it a high demand for manufacturing quality. The surface integrity of a machined part is a critical factor which needs to be considered in the selection of ...
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    Assessment of Dimensional Integrity and Spatial Defect Localization in Additive Manufacturing Using Spectral Graph Theory 

    Source: Journal of Manufacturing Science and Engineering:;2016:;volume( 138 ):;issue: 005:;page 51007
    Author(s): Rao, Prahalad K.; Kong, Zhenyu; Duty, Chad E.; Smith, Rachel J.; Kunc, Vlastimil; Love, Lonnie J.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The ability of additive manufacturing (AM) processes to produce components with virtually any geometry presents a unique challenge in terms of quantifying the dimensional quality of the part. In this paper, a novel spectral ...
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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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    Online Real Time Quality Monitoring in Additive Manufacturing Processes Using Heterogeneous Sensors 

    Source: Journal of Manufacturing Science and Engineering:;2015:;volume( 137 ):;issue: 006:;page 61007
    Author(s): Rao, Prahalad K.; Liu, Jia (Peter); Roberson, David; Kong, Zhenyu (James); Williams, Christopher
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The objective of this work is to identify failure modes and detect the onset of process anomalies in additive manufacturing (AM) processes, specifically focusing on fused filament fabrication (FFF). We accomplish this ...
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    Multi-Objective Accelerated Process Optimization of Part Geometric Accuracy in Additive Manufacturing 

    Source: Journal of Manufacturing Science and Engineering:;2017:;volume( 139 ):;issue: 010:;page 101001
    Author(s): Aboutaleb, Amir M.; Tschopp, Mark A.; Rao, Prahalad K.; Bian, Linkan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The goal of this work is to minimize geometric inaccuracies in parts printed using a fused filament fabrication (FFF) additive manufacturing (AM) process by optimizing the process parameters settings. This is a challenging ...
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    Online Monitoring of Functional Electrical Properties in Aerosol Jet Printing Additive Manufacturing Process Using Shape-From-Shading Image Analysis 

    Source: Journal of Manufacturing Science and Engineering:;2017:;volume( 139 ):;issue: 010:;page 101010
    Author(s): Salary, Roozbeh (Ross); Lombardi, Jack P.; Rao, Prahalad K.; Poliks, Mark D.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The goal of this research is online monitoring of functional electrical properties, e.g., resistance, of electronic devices made using aerosol jet printing (AJP) additive manufacturing (AM) process. In pursuit of this goal, ...
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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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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian