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- W4323057938 abstract "Cutting forces are important for the monitoring and control of robotic milling processes. In practice, it is very difficult to measure cutting forces directly during the machining of large components. The indirect identification of cutting force is distorted as the frequency response function (FRF) changes with the machining pose. In this paper, the displacement sensor mounted on the spindle is used for the identification of cutting forces. Firstly, the modal parameters for a few machining positions are used to develop the Gaussian process regression (GPR) model. Secondly, the system equations of motion are transformed into state-space equations. Thirdly, a cutting force identification method based on Kalman filter is established. Finally, the effectiveness of the proposed method is verified by numerical simulations." @default.
- W4323057938 created "2023-03-05" @default.
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- W4323057938 date "2023-01-01" @default.
- W4323057938 modified "2023-09-28" @default.
- W4323057938 title "Time Domain Identification Method of Cutting Forces in Robotic Milling Process" @default.
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- W4323057938 doi "https://doi.org/10.1007/978-3-031-26193-0_7" @default.
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