2019
DOI: 10.17973/mmsj.2019_11_2019086
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Estimation of Engagement Conditions Using an Ann Pattern Recognition System on the Base of a Sensory Tool Holder

Abstract: Knowledge of the tool wear state in machining has become an important issue in research and industrial application. Current systems use the spindle power or cutting force as measured variable and refer it to a taught set point. However, this method lacks the ability to adapt to new work piece geometries. This new approach focusses on the tool instead of the workpiece, and uses a sensory tool holder with integrated strain gauges. Process monitoring that is based on the increasing effect of tool wear on the cutt… Show more

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Cited by 2 publications
(8 citation statements)
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“…A more recent approach shown by Bergs and Goetz uses the bending moments in two perpendicular directions of the tool coordinate system to plot two-dimensional figures that correspond to the engagement conditions [26]. They use the points of maximum curvature of these figures to train an artificial neural network that estimates the current width of cut.…”
Section: State Of the Artmentioning
confidence: 99%
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“…A more recent approach shown by Bergs and Goetz uses the bending moments in two perpendicular directions of the tool coordinate system to plot two-dimensional figures that correspond to the engagement conditions [26]. They use the points of maximum curvature of these figures to train an artificial neural network that estimates the current width of cut.…”
Section: State Of the Artmentioning
confidence: 99%
“…This system relies on a sensory tool holder with integrated strain gauges that delivers characteristic polar figures derived from the bending moments of the tool holder. These polar figures can be used to determine the engagement conditions [26]. The engagement conditions determine the chip thickness and width of chip, thus having a significant influence on the cutting force.…”
Section: Research Aim and Approachmentioning
confidence: 99%
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