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    Fatigue Scattering Analytics and Prediction of SS 316L Fabricated by Laser Powder Bed Fusion 

    Source: Journal of Manufacturing Science and Engineering:;2024:;volume( 147 ):;issue: 002:;page 21009-1
    Author(s): Kousoulas, Panayiotis; Guo, Y. B.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Laser powder bed fusion (LPBF) is an enabling process manufacture of complex metal components. However, LPBF is prone to generate geometrical defects (e.g., porosity, lack of fusion), which causes a significant fatigue ...
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    Three Dimensional Temperature Gradient Mechanism in Selective Laser Melting of Ti 6Al 4V 

    Source: Journal of Manufacturing Science and Engineering:;2014:;volume( 136 ):;issue: 006:;page 61004
    Author(s): Fu, C. H.; Guo, Y. B.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Selective laser melting (SLM) is widely used in making threedimensional functional parts layer by layer. Temperature magnitude and history during SLM directly determine the molten pool dimensions and surface integrity. ...
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    Physics-Guided Long Short-Term Memory Networks for Emission Prediction in Laser Powder Bed Fusion 

    Source: Journal of Manufacturing Science and Engineering:;2023:;volume( 146 ):;issue: 001:;page 11006-1
    Author(s): Lei, Rong; Guo, Y. B.; Guo, Weihong “Grace”
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Powder bed fusion (PBF) is an additive manufacturing process in which laser heat liquefies blown powder particles on top of a powder bed, and cooling solidifies the melted powder particles. During this process, the laser ...
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    Physics-Informed Machine Learning of Argon Gas-Driven Melt Pool Dynamics 

    Source: Journal of Manufacturing Science and Engineering:;2024:;volume( 146 ):;issue: 008:;page 81008-1
    Author(s): Sharma, R.; Guo, Y. B.; Raissi, M.; Guo, W. Grace
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Melt pool dynamics in metal additive manufacturing (AM) is critical to process stability, microstructure formation, and final properties of the printed materials. Physics-based simulation, including computational fluid ...
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    Reproduction of Three-Dimensional Microstructures on Inconel 718 Utilizing Laser-Textured PECM Cathodes 

    Source: Journal of Manufacturing Science and Engineering:;2024:;volume( 147 ):;issue: 003:;page 31001-1
    Author(s): Fang, Shiqi; Frank, Alexander; Schäfer, Mareike; Guo, Y. B.; Bähre, Dirk
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Pulse electrochemical machining (PECM) is an unconventional material removal process, widely applied to machine or shape difficult-to-machine materials. A new concept of reproducing three-dimensional (3D) microstructures ...
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    Fabrication and Tribological Functions of Microdent Arrays on Ti–6Al–4V Surface by Laser Shock Peening 

    Source: Journal of Manufacturing Science and Engineering:;2014:;volume( 136 ):;issue: 005:;page 51020
    Author(s): Caslaru, R.; Sealy, M. P.; Guo, Y. B.; Wei, X. T.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Surface patterning has become a valuable technique for fabricating microdents, which may act as lubricant reservoirs to reduce friction and wear in sliding and rolling contact applications. In this paper, the use of laser ...
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    Unified Criterion for Brittle–Ductile Transition in Mechanical Microcutting of Brittle Materials 

    Source: Journal of Manufacturing Science and Engineering:;2014:;volume( 136 ):;issue: 005:;page 51013
    Author(s): Cheng, X.; Wei, X. T.; Yang, X. H.; Guo, Y. B.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Various brittle–ductile transition (BDT) criteria have been developed in the literature to estimate the critical conditions for ductile microcutting of brittle materials. This study provides a unified criterion to ...
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    On the Simulation Scalability of Predicting Residual Stress and Distortion in Selective Laser Melting 

    Source: Journal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 004:;page 41013
    Author(s): Li, C.; Liu, Z. Y.; Fang, X. Y.; Guo, Y. B.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Rapid heating and cooling thermal cycle of metals in selective laser melting (SLM) generates high tensile residual stress which leads to part distortion. However, how to fast and accurately predict residual stress and the ...
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    Efficient Multiscale Modeling and Validation of Residual Stress Field in Cutting 

    Source: Journal of Manufacturing Science and Engineering:;2017:;volume( 139 ):;issue: 009:;page 91004
    Author(s): Wang, F.; Liu, Z. Y.; Guo, Y. B.; Zhao, J.; Liu, Z. Q.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Residual stress (RS) has significant impact on cutting process optimization. However, conventional process modeling approaches are limited to only single cutting pass on very short length and time scales due to the exceedingly ...
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    Bridging Data Gaps: A Federated Learning Approach to Heat Emission Prediction in Laser Powder Bed Fusion 

    Source: Journal of Manufacturing Science and Engineering:;2024:;volume( 146 ):;issue: 010:;page 101002-1
    Author(s): Lei, Rong; Guo, Y. B.; Yan, Jiwang; Guo, Weihong “Grace”
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Deep learning has impacted defect prediction in additive manufacturing (AM), which is important to ensure process stability and part quality. However, its success depends on extensive training, requiring large, homogeneous ...
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