Cutting Tool Wearing Identification Through Predictive Maintenance and Its Impact on Surface Quality
Keyword(s):
Smart manufacturing has been in the media for a long time, but the reality shows that traditional mechanical manufacturing industries have not been able to implement data solutions aligned with Industry 4.0 standards. This work inquiries into the possibility of measuring cutting tool vibrations for CNC turning machines and presents the data analysis and a predictive model to identify tool wearing that can affects integrity surface quality of the manufactured component. These preliminary results are orientated towards implementing a predictive maintenance methodology in cutting tools.
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2016 ◽
Vol 231
(5)
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pp. 739-752
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2016 ◽
Vol 836-837
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pp. 570-577
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2010 ◽
Vol 14
(2)
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pp. 208-223
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2013 ◽
Vol 377
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pp. 117-122
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2017 ◽
Vol 869
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pp. 183-194