Carbon fiber composite materials (CFRP) are difficult to machine due to their anisotropy. PCD tools are widely used in CFRP drilling, and changes in axial force affect the quality of drilling. This article uses a combination of experimental and finite element techniques to study the axial force of PCD tool drilling CFRP. Through experiments, the minimum value of axial force under cutting parameters of 6500rpm spindle speed and 120mm/min feed rate is 124.1N; Based on Deform-3D, a constitutive model of the material was established, and the maximum axial force and torque values were obtained when the PCD tool was about to drill out the CFRP plate. The correctness of the finite element model was verified through experimental data.
This paper reviews the research progress of gait recognition and rehabilitation training control based on EEG signals. Firstly, the importance and application scenarios of gait recognition research were introduced, with a focus on discussing gait recognition methods based on EEG signals. Then, the basic characteristics of EEG signals and the main EEG signal analysis methods used for gait recognition were summarized, including time-domain analysis, frequency-domain analysis, and time-frequency analysis. Secondly, this article collected some motion EEG signals and selected corresponding recognition algorithms through data processing, feature extraction, and classifier selection to perform gait recognition on the EEG signals. The results show that the algorithm proposed in this paper has a high recognition rate.
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