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发布时间:2019-09-10 点击数:

报告时间:2019911(星期三) 18:30

地点:科技园西二楼 302会议室



1. One-year Studying in The University of British Columbia (UBC) as a visiting student funded by CSC

留学单位:加拿大 不列颠哥伦比亚大学



In the past one year, Mr. Wan was funded by CSC and performed his research work as a visiting student in the Department of Mechanical Engineering, UBC, Vancouver, Canada. His major research direction are identification and active suppression of chatter in milling process, and he has published three journal papers and two conference papers during his stay in UBC. In the presentation, Mr. Wan will share his research direction and studying experience in UBC. In addition, some interesting living experience in Vancouver will also be given.

2. Presentation of attending the ASME-IDETC/ICE (International Design Engineering Technical Conferences & Computers and Information in Engineering Conference)

会议时间:August 18-21, 2019

会议地点:Anaheim, California, USA.

会议概况:The ASME 2019 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2019) will take place during August 18-21, 2019 in Anaheim, California, USA. IDETC/CIE 2019 will highlight emergent technologies that impact the critical engineering issues of product design and development, manufacturing, and the management and integration of information systems throughout the product life-cycle. These events are key international meetings for design and manufacturing engineers in academia, government and industry.


Title: Investigation on Adaptive Filter for On-Line Detection and Active Control of Chatter vibration in Milling Process

Authors: Wan Shaoke, Li Xiaohu*, Su Wenjun, et al.

Abstract: On-line detection and active control of chatter vibration have always been important issues in milling process respectively. To some extent, the signals obtained with sensors determine the performance of on-line detection and active control of chatter. However, due to the characteristics of milling process, the obtained signals are mainly consisted with spindle rotation frequency and its harmonics, and the chatter components are usually submerged by these stable harmonics, imposing negative effects for the detection and active control of milling chatter. Then, it is highly needed to design a real-time filter to filter out the spindle rotation frequency and its harmonics. In this paper, an adaptive filter is designed to filter out the spindle speed related components. Moving average (MR) model and adaptive filter theory is utilized to estimate these periodic components. The influence of filter order and step size factor on the filter characteristics are also analyzed. Considering that the filter order needs to be adjusted under different cutting conditions, which will alter the filter’s performance, an improved adaptive filter is proposed. Experiments are also performed and the experimental results show that, not only the spindle speed related components can be filtered out effectively, but the chatter frequency components are amplified with appropriate initial step factor, which is beneficial for the detection of milling chatter at early stage. Meanwhile, the periodic components caused by the installation error and the other spindle speed related components can be effectively filtered out real-timely, preventing the saturation of actuator caused by these stable components.

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