| Issue |
MATEC Web Conf.
Volume 211, 2018
The 14th International Conference on Vibration Engineering and Technology of Machinery (VETOMAC XIV)
|
|
|---|---|---|
| Article Number | 03001 | |
| Number of page(s) | 6 | |
| Section | ND: Nonlinear Dynamics, Chaos and Control of Elastic Structures; TP6: Condition monitoring, tip-timing, experimental techniques | |
| DOI | https://doi.org/10.1051/matecconf/201821103001 | |
| Published online | 10 October 2018 | |
Analysis of AE characteristics of tool wear in drilling CFRP/Ti stacked material
1,2,3
College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics 29# Yudao Street,
Nanjing, Jiangsu
210016,
China
4
AVIC Changhe Aircraft Industry (Group) Co., Ltd.,
Jingdezhen City, Jiangxi,
333002,
China wz72580@nuaa.edu.cn;meesleng@nuaa.edu.cn;lymintao@foxmail.com;13707984109@163.com
Based on the signal data acquired in drilling process of carbon fiber reinforced polymer/titanium alloy (CFRP/Ti) stacked materials, the acoustic emission (AE) characteristic values were carefully studied, by using the method of statistical analysis, spectrum analysis and wavelet packet. The results show that the root mean square(RMS) value of the AE signals and the energy of the wavelet packet are closely related to the tool wear. Meanwhile, experiments indicate that different materials, chips and tool tipping will cause instantaneous signal mutation, which has different forms in time domain and in time-frequency domain. These mutations may increase the difficulty of identifying the tool wear. Fortunately, with repeated experiments and comparison, some identifiable mutations were recognized. When a tool is processed from CFRP to Ti, the signal intensity decreases generally, the high-frequency component of signal increases gradually, and the signal has a tendency to show in high frequencies.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.