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- W4210853854 abstract "Milling vibration is one of the critical factors affecting the surface quality of thin plate milling. Active control strategies have attracted more and more attention because of the high adaptive capacity. However, during control, it is difficult to obtain the vibration signal of the cutting position of the workpiece. In this paper, a modified Filtered-x Least Mean Square (MFxLMS) algorithm is constructed considering the deviation between sensor position and the cutting position of the workpiece. The convergence conditions of the algorithm are studied, as well as the factors affecting the convergence speed. Based on piezoelectric actuators and acceleration sensors, some simulation and experimental validations are carried out to verify the proposed method. The results indicate that the method is effective for vibration suppression during milling process, and the surface quality of the thin plate can be obviously improved." @default.
- W4210853854 created "2022-02-09" @default.
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- W4210853854 date "2021-11-01" @default.
- W4210853854 modified "2023-09-25" @default.
- W4210853854 title "Active Vibration Control of Thin Plate Milling Using Piezoelectric Actuator" @default.
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- W4210853854 doi "https://doi.org/10.1109/wcmeim54377.2021.00022" @default.
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