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Research on optimization of CNC milling parameters based on..:
, In:
2021 8th International Forum on Electrical Engineering and Automation (IFEEA)
,
Li, Dong-Yang
;
Yin, Feng-Zhe
;
Piao, Cheng-Dao
... - p. 443-451 , 2021
Link:
https://doi.org/10.1109/IFEEA54171.2021.00095
RT T1 <cTitle>2021 8th International Forum on Electrical Engineering and Automation (IFEEA)</cTitle>: T1 <Title>Research on optimization of CNC milling parameters based on multi-island genetic algorithm</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10067878&Exemplar=1&LAN=DE A1 Li, Dong-Yang A1 Yin, Feng-Zhe A1 Piao, Cheng-Dao A1 Wang, De-Chao A1 Quan, Shi-Hao A1 Chen, Shi-Hao YR 2021 K1 Vibrations K1 Analytical models K1 Force K1 Milling K1 Linear programming K1 Response surface methodology K1 Optimization K1 Response surface method K1 milling vibration K1 milling force K1 multi-island genetic algorithm K1 parameter optimization SP 443 OP 451 LK http://dx.doi.org/https://doi.org/10.1109/IFEEA54171.2021.00095 DO https://doi.org/10.1109/IFEEA54171.2021.00095 SF ELIB - SuUB Bremen
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