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Directionally Independent Failure Prediction of End-Milling Tools by Tracking Increasing Chaotic Noise at the Machining Frequencies Due to Wear
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 ...
Endmill Condition Monitoring and Failure Forecasting Method for Curvilinear Cuts of Nonconstant Radii
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 ...
Directionally Independent Failure Prediction of End-Milling Tools During Pocketing Maneuvers
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 ...