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    Directionally Independent Failure Prediction of End-Milling Tools by Tracking Increasing Chaotic Noise at the Machining Frequencies Due to Wear 

    Source: Journal of Manufacturing Science and Engineering:;2008:;volume( 130 ):;issue: 003:;page 31006
    Author(s): Christopher A. Suprock; John T. Roth
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Accurate on-line forecasting of a tool’s condition during end-milling operations is advantageous to the functionality and reliability of automated industrial processes. The ability to disengage the ...
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    Endmill Condition Monitoring and Failure Forecasting Method for Curvilinear Cuts of Nonconstant Radii 

    Source: Journal of Manufacturing Science and Engineering:;2009:;volume( 131 ):;issue: 002:;page 21003
    Author(s): Christopher A. Suprock; Larry M. Downey; John T. Roth
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, an endmill condition monitoring technique is presented for curvilinear cutting. This algorithm operates without the need for prior knowledge of cutting conditions, tool type, cut ...
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    Directionally Independent Failure Prediction of End-Milling Tools During Pocketing Maneuvers 

    Source: Journal of Manufacturing Science and Engineering:;2007:;volume( 129 ):;issue: 004:;page 770
    Author(s): Christopher A. Suprock; Joseph J. Piazza; John T. Roth
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Tracking the health of cutting tools under typical wear conditions is advantageous to the speed and efficiency of manufacturing processes. Existing techniques monitor tool performance through ...
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