Experimental validation of chip production rate as a tool wear identification in micro-endmilling

Medientyp: E-Artikel
Titel: Experimental validation of chip production rate as a tool wear identification in micro-endmilling
Beteiligte: Lee, Jue-Hyun; Sodemann, Angela A.; Bajaj, Anuj K.
Erschienen: Springer Science and Business Media LLC, 2019
Erschienen in: The International Journal of Advanced Manufacturing Technology
Sprache: Englisch
DOI: 10.1007/s00170-019-03602-8
ISSN: 0268-3768; 1433-3015
Schlagwörter: Industrial and Manufacturing Engineering ; Computer Science Applications ; Mechanical Engineering ; Software ; Control and Systems Engineering
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