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Detecting tool wear in face milling with different workpiece materials
D. W. Cho
*
,
W. C. Choi
, H. Y. Lee
*
Corresponding author for this work
Research output
:
Contribution to journal
›
Article
›
peer-review
2
Citations (Scopus)
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Engineering
Energy Engineering
100%
Experimental Result
100%
Ultimate Tensile Strength
100%
Success Rate
100%
Cutting Condition
100%
Force Signal
100%
Forming
100%
Cutting Force
100%
Face Milling
100%
Keyphrases
Neural Network
100%
Workpiece Material
100%
Face Milling
100%
Tool Wear
100%
Tensile Strength
33%
Success Rate
33%
Detection Rate
33%
Monitoring System
33%
Additional Inputs
33%
Cutting Conditions
33%
Unified Neural Network
33%
Parameter Condition
33%
Cutting Force Signal
33%
Decision System
33%
AR Modeling
33%
Frequency Band Energy
33%
AR Parameters
33%
SM45C
33%