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    Enhancing Part Quality Management Using a Holistic Data Fusion Framework in Metal Powder Bed Fusion Additive Manufacturing 

    Source: Journal of Computing and Information Science in Engineering:;2024:;volume( 024 ):;issue: 005:;page 51008-1
    Author(s): Yang, Zhuo; Kim, Jaehyuk; Lu, Yan; Jones, Albert; Witherell, Paul; Yeung, Ho; Ko, Hyunwoong
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Metal powder bed fusion additive manufacturing (AM) processes have gained widespread adoption for the ability to produce complex geometries with high performance. However, a multitude of factors still affect the build ...
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    Effect of Low Frequency Modulation on Deformation and Material Flow in Cutting of Metals 

    Source: Journal of Tribology:;2016:;volume( 138 ):;issue: 001:;page 12201
    Author(s): Yeung, Ho; Guo, Yang; Mann, James B.; Dale Compton, W.; Chandrasekar, Srinivasan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The deformation field, material flow, and mechanics of chip separation in cutting of metals with superimposed lowfrequency modulation (<1000 Hz) are characterized at the mesoscale using highspeed imaging and particle ...
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    STEPNC Process Planning for Powder Bed Fusion Additive Manufacturing 

    Source: Journal of Computing and Information Science in Engineering:;2022:;volume( 022 ):;issue: 006:;page 60904
    Author(s): Milaat, Fahad Ali;Witherell, Paul;Hardwick, Martin;Yeung, Ho;Ferrero, Vincenzo;Monnier, Laetitia;Brown, Matthew
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Powder bed fusion (PBF) is an additive manufacturing (AM) technology that uses highpower beams to fuse powder material into layers of scanned patterns, thus producing parts with great geometric complexity. For PBF, the ...
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    From Scan Strategy to Melt Pool Prediction: A Neighboring-Effect Modeling Method 

    Source: Journal of Computing and Information Science in Engineering:;2020:;volume( 020 ):;issue: 005
    Author(s): Yang, Zhuo; Lu, Yan; Yeung, Ho; Krishnamurty, Sundar
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The quality of additive manufacturing (AM) built parts is highly correlated to the melt pool characteristics. Hence, melt pool monitoring and control can potentially improve the AM part quality. This paper presents a ...
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