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    Sensor-Based Build Condition Monitoring in Laser Powder Bed Fusion Additive Manufacturing Process Using a Spectral Graph Theoretic Approach 

    Source: Journal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 009:;page 91002
    Author(s): Montazeri, Mohammad; Rao, Prahalada
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The goal of this work is to monitor the laser powder bed fusion (LPBF) process using an array of sensors so that a record may be made of those temporal and spatial build locations where there is a high probability of defect ...
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    In-Process Monitoring of Material Cross-Contamination Defects in Laser Powder Bed Fusion 

    Source: Journal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 011:;page 111001
    Author(s): Montazeri, Mohammad; Yavari, Reza; Rao, Prahalada; Boulware, Paul
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The goal of this work is to detect the onset of material cross-contamination in laser powder bed fusion (L-PBF) additive manufacturing (AM) process using data from in situ sensors. Material cross-contamination refers to ...
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    Process Mapping and In-Process Monitoring of Porosity in Laser Powder Bed Fusion Using Layerwise Optical Imaging 

    Source: Journal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 010:;page 101009
    Author(s): Imani, Farhad; Gaikwad, Aniruddha; Montazeri, Mohammad; Rao, Prahalada; Yang, Hui; Reutzel, Edward
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The goal of this work is to understand the effect of process conditions on lack of fusion porosity in parts made using laser powder bed fusion (LPBF) additive manufacturing (AM) process, and subsequently, to detect the ...
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