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    Analyses of Friction Stir Riveting Processes: A Review 

    Source: Journal of Manufacturing Science and Engineering:;2017:;volume( 139 ):;issue: 009:;page 90801
    Author(s): Ali Khan, Haris; Li, Jingjing; Shao, Chenhui
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This study presents detailed analyses of variant joining processes under the category of friction stir riveting (FSR) that are applied to assemble similar or dissimilar materials by integrating the advantages of both ...
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    A State-of-the-Art Review on Solid-State Metal Joining 

    Source: Journal of Manufacturing Science and Engineering:;2019:;volume( 141 ):;issue: 003:;page 31012
    Author(s): Cai, Wayne; Daehn, Glenn; Vivek, Anupam; Li, Jingjing; Khan, Haris; Mishra, Rajiv S.; Komarasamy, Mageshwari
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper aims at providing a state-of-the-art review of an increasingly important class of joining technologies called solid-state (SS) welding, as compared to more conventional fusion welding. Among many other advantages ...
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    Classification of Failure Modes in Friction Stir Blind Riveted Lap-Shear Joints With Dissimilar Materials 

    Source: Journal of Manufacturing Science and Engineering:;2017:;volume( 139 ):;issue: 002:;page 21005
    Author(s): Wang, Wei-Ming; Ali Khan, Haris; Li, Jingjing; Miller, Scott F.; Zachary Trimble, A
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In transportation sector, there is an increasing need for joining dissimilar materials for lightweight structures; however, substantial barriers to the joining of dissimilar materials have led to an investigation and ...
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    Sensor Fusion and On-Line Monitoring of Friction Stir Blind Riveting for Lightweight Materials Manufacturing 

    Source: Journal of Manufacturing Science and Engineering:;2021:;volume( 144 ):;issue: 006:;page 61009-1
    Author(s): Gao, Zhe; Khan, Haris Ali; Li, Jingjing; (Grace) Guo, Weihong
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This research focused on developing a hybrid quality monitoring model through combining the data-driven and key engineering parameters to predict the friction stir blind riveting (FSBR) joint quality. The hybrid model was ...
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