Abstract
Optimization and control of technological parameters in the machining of composite materials is an important task to ensure quality of the manufactured products. Studies are undertaken to solve the given problem using the method of acoustic emission. We considered procedure and results of experimental research into parameters of acoustic emission signals when changing the depth of composite machining. It was determined that increasing the depth of composite material machining did not not affect the character of acoustic radiation. Acoustic emission is continuous. However, there occurs an increase in the mean level of amplitude of the registered emission signal and the magnitude of its variability. We determined statistical amplitude parameters of acoustic emission signals at increasing the depth of composite machining. The data approximation was performed and the mathematical notation derived of the regularities at an increase in the mean level of amplitude, its standard deviation and variance with increasing machining depth. It was established that regularities of the increase in the amplitude parameters of acoustic emission signals were well described by nonlinear functions. It was determined that the most sensitive and informative parameter of the registered acoustic emission signals was a variance in the mean level of amplitudes. It is shown that the percentage increase in the variance of the mean level of signal amplitude outpaces the percentage increase in the mean level of amplitude and its standard deviation. The obtained patterns could be used for the optimization of technological processes. When conducting machining ‒ to monitor, control and manage the depth of machining a composite with the assigned structure.
Highlights
In order to control technological processes during ma chining of composite materials (CM), the research is conducted using the method of acoustic emission (AE)
It was shown that an increase in the cutting depth at other technological parameters being constant led to a complex character of change in the mean and root-mean-square value (RMSV) of AE signal amplitudes, as well as in their standard deviation
The dependences are derived of a change in the AE signal amplitude over time when changing the depth of CM machining, which showed that the AE signals were conti nuous signals with a highly fragmented shape
Summary
In order to control technological processes during ma chining of composite materials (CM), the research is conducted using the method of acoustic emission (AE). The research is predetermined by low inertia and high sensitivity of AE to the processes of deformation and destruction of the surface layers of the treated material These advantages of the method are of particular importance to control, monitor and manage technological processes of CM machining using neural networks. Modeling the AE for the dominant destruction mechanism of the surface layer and the prevailing impact factor makes it possible to explore the character and parameters of acoustic radia tion This refers first of all to determining the sensitivity and the expected patterns of change in the AE parameters. Experimental regularities are the confirmation of theoretical results Such regularities are the basis when solving the problem on the design of criteria and methods of control, monitoring and management of technological process in the CM machining. This problem is of particular importance for the robotized technologies of the CM machining
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