Actual Problems in Machine Building 2017 Vol. 4 No. 3

Actual Problems in Machine Building. Vol. 4. N 3. 2017 Innovative Technologies in Mechanical Engineering ____________________________________________________________________ 38 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: kryazhev57@mail.ru Gorin E. J. , Ph.D. student, e-mail: evgenijgorin@gmail.com 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