Experimental Study on Acoustic Emission Signals Under Different Processing States of Laser-Assisted Machining of SiC Ceramics
Chen Cao, Yugang Zhao, Xiukun Hu, Xiao Cui
TL;DR
This study analyzes acoustic emission signals during laser machining of SiC ceramics to identify different processing states and quantify ceramic softening.
Contribution
A novel method using low-frequency band energy ratio to numerically characterize ceramic softening during laser-assisted machining is introduced.
Findings
Three processing states (brittle, plastic, thermal damage) were identified based on laser power ranges.
Wavelet packet denoising and spectrum analysis revealed characteristic frequencies and amplitude trends in AE signals.
Low-frequency band energy ratio was proposed as an indirect measure of ceramic softening degree.
Abstract
In this paper, laser-assisted machining (LAM) of SiC ceramics was taken as the research object, and the different spectrum and energy spectrum characteristics and their changing trends of acoustic emission (AE) signals under processing states of brittleness, plasticity and thermal damage were analyzed. The numerical characterization of ceramic softening degree was indirectly realized by the energy spectrum characteristics of low-frequency band energy ratio, marking a methodological breakthrough in transitioning from qualitative analysis to quantitative detection for identifying plastic processing state. First, the surface morphology of the machined surface based on the single-factor experiment of laser power was analyzed, and three different processing states and ranges of laser power were determined, namely brittle state (0–185 W), plastic state (185–225 W) and thermal damage state…
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Taxonomy
TopicsAdvanced machining processes and optimization · Laser Material Processing Techniques · Advanced Surface Polishing Techniques