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Sensor-assisted method for on-line flank wear estimation in turning processes
Sagar V. Kamarthi
,
Soundar R.T. Kumara
, Paul H. Cohen
Harold and Inge Marcus Department of Industrial and Manufacturing Engineering
Institute for Computational and Data Sciences (ICDS)
Center for Interdisciplinary Mathematics
Research output
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peer-review
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Dive into the research topics of 'Sensor-assisted method for on-line flank wear estimation in turning processes'. Together they form a unique fingerprint.
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Keyphrases
Flank Wear
100%
Turning Process
100%
Wear Measurement
100%
Estimation Method
33%
Operating Conditions
16%
Estimation Error
16%
Good Enough
16%
Neural Network Training
16%
Cutting Tool
16%
Forced Vibration
16%
Acoustic Emission Sensor
16%
Steel Workpiece
16%
Turning Experiment
16%
Uncoated Carbide Insert
16%
Material Science
Carbide
100%
Cutting Tool
100%
Engineering
Flank Wear
100%
Acoustic Emission
16%
Estimation Error
16%
Neural Network Training
16%