Актуальные проблемы в машиностроении Том 4 №3 2017

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Actual Problems in Machine Building. Vol. 4. N 3. 2017 Innovative Technologies
in Mechanical Engineering
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THE DEVELOPMENT OF ALGORITHM OF ADAPTIVE MILLING PROCESS
CONTROL ON CNC USING ACOUSTIC EMISSION SIGNAL
Kryazhev J. A., Ph.D. (Engineering), Associate Professor, e-mail:
Gorin E. J., Ph.D. student, e-mail:
I.I. Polzunov Altai State Technical University, 46 Lenina avenue, Barnaul, Altai region, 656038,
Russian Federation
Abstract
In this article we solve the problem of providing stability of quality parameters of the surface
during the face milling with the system of adaptive milling process control on the base of acoustic
emission signal. To solve this problem the algorithm of system of adaptive technological parameters
control on CNC using acoustic emission signal.
Due to the absence of software, which is required for this system, an application development
was carried out with the use of self-training algorithms for decision-making to change technological
parameters of face milling process.
Keywords
Mill, face milling, adaptive technological parameters control, acoustic emission signal, block
diagram