Adaptive Control System of the Electric Discharge Machining Process


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Abstract

The article presents the scientific rationale for the approach to the development of an adaptive management system for the electric discharge machining process based on artificial intelligence principles to achieve the required surface quality of the workpiece. A three-layer neural network for controlling the process of electric discharge machining and a block diagram of the research bench to study the efficiency of electric discharge machining with the use of the developed adaptive control system are described.

About the authors

O. Yu. Erenkov

Pacific State University

Author for correspondence.
Email: erenkov@list.ru
Russian Federation, Khabarovsk

M. Yu. Sarilov

Komsomolsk-on-Amur State Technical University

Email: erenkov@list.ru
Russian Federation, Komsomolsk-on-Amur

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2016 Springer Science+Business Media New York