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pro vyhledávání: '"Yongseung Kwon"'
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 12:10615-10627
Tool wear is a detrimental circumstance in end milling and estimating its occurrence in machinery is an onerous process. Indirect tool monitoring has been actively studied to identify instances of wear on the cutting tool based on the signal from a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12f563e04b68304fa153a35a5c5e5189
https://doi.org/10.1007/s12652-020-02875-2
https://doi.org/10.1007/s12652-020-02875-2
Publikováno v:
Journal of Ambient Intelligence & Humanized Computing; Dec2021, Vol. 12 Issue 12, p10615-10627, 13p
Autor:
Yeongkwan Kim1 myrni@yonsei.ac.kr, Hyungju Oh1, Chul Kim1, Dongjoon Song1, Wonsig Jung1, Beomyoung Kim1, Hyoung Joon Choi1, Changyoung Kim1 changyoung@yonsei.ac.kr, Bumsung Lee2, Seunghyun Khim1, Hyungjoon Kim2, Keehoon Kim2, Jongbeom Hong3, Yongseung Kwon3
Publikováno v:
Physical Review B: Condensed Matter & Materials Physics. Feb2011, Vol. 83 Issue 6, p64509:1-64509:5. 5p.