Xiaohu Li

TL;DR: Wang et al. as mentioned in this paper presented a machine learning method for milling chatter detection based on multispectral features, including dimensionless features in time domain and frequency domain, and automatic features extracted by stacked-denoising autoencoder (SDAE).

TL;DR: In this paper, an adaptive filter is designed to remove the spindle speed-related frequency components, and the chatter-related components can be amplified simultaneously with the filter, which is defined as the chatter indicator, and a time frequency analysis method based on ensemble empirical mode decomposition (EEMD) and the Hilbert-Huang transform (HHT) is introduced to estimate the dominant chatter frequency.

TL;DR: In this paper, a proportional-derivative controller was proposed to suppress milling chatter vibration and improve surface finish of a milling spindle with a noncontact electromagnetic actuator with two degrees of freedom.

TL;DR: Experimental results illustrate that the milling chatter can be well suppressed with the presented method and system, which shows advantages of robustness and practicality.

TL;DR: In this article, the effect of tilting bearing outer ring on bearing contact angle, contact force and friction heat was investigated, and steady thermal simulation analysis on spindle in consideration of the tilting outer ring was completed, and for validation purpose, outer spacers with different non-parallelism were respectively assembled on the spindle to simulate bearing inner ring's different tilt statuses.