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    Deep Multi-Modal U-Net Fusion Methodology of Thermal and Ultrasonic Images for Porosity Detection in Additive Manufacturing 

    Source: Journal of Manufacturing Science and Engineering:;2023:;volume( 145 ):;issue: 006:;page 61009-1
    Author(s): Zamiela, Christian; Jiang, Zhipeng; Stokes, Ryan; Tian, Zhenhua; Netchaev, Anton; Dickerson, Charles; Tian, Wenmeng; Bian, Linkan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: We developed a deep fusion methodology of nondestructive in-situ thermal and ex-situ ultrasonic images for porosity detection in laser-based additive manufacturing (LBAM). A core challenge with the LBAM is the lack of ...
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