Analysis of AE characteristics of tool wear in drilling CFRP/Ti stacked material

3Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.

Abstract

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.

Cite

CITATION STYLE

APA

Wang, Z., Leng, S., Min, T., & Chen, G. (2018). Analysis of AE characteristics of tool wear in drilling CFRP/Ti stacked material. In MATEC Web of Conferences (Vol. 211). EDP Sciences. https://doi.org/10.1051/matecconf/201821103001

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free