Virtual Instrumentation for Adaptive Control of Cutting Processes

2015 ◽  
Vol 760 ◽  
pp. 633-638
Author(s):  
Anton Mircea Vasiloni ◽  
Mircea Viorel Dragoi

This paper discusses the application of virtual instruments into the monitoring and control of an adaptive control system used in milling cutting processes. Hardware and software architecture is proposed in order to develop reliable virtual instruments for cutting processes monitoring. Methodology and technique of Virtual instruments creation and calibration are presented in the following paragraphs.

Technologies ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 96 ◽  
Author(s):  
Yury Melnik ◽  
Mikhail Kozochkin ◽  
Artur Porvatov ◽  
Anna Okunkova

The article is related to the research of the parameters of vibroacoustic emission for development of the monitoring and adaptive control system for electrical discharge machining. The classical control system based on a response of electrical parameters does not give an adequate data in the cases of a new class of materials processing as conductive ceramics reinforced by conductive nano additives and carbon nanotubes and whiskers. The idle pulses, which are working on the destruction of the erosion products in the gap, count as working pulses. The application of the monitoring and control tools based on vibroacoustic emission gives adequate data about conditions in the working zone. The developed system is available to count only impulses involved in working on the destruction of the workpiece. The experiments were conducted on the samples of materials with a low melting point as austenitic steel and aluminum alloy, and hard alloys. The records of vibroacoustic signals were analyzed for detection of the monitoring and adaptive control criteria.


2014 ◽  
Vol 474 ◽  
pp. 212-217 ◽  
Author(s):  
Marek Vrabel' ◽  
Ildikó Maňková ◽  
Jozef Beňo ◽  
Ladislav Kandráč ◽  
Jozef Stahovec

Article deals with design of adaptive control system for drilling process of aerospace critical components. The system proposed in this paper is directed towards real the time control of surface roughness parameter Ra. Proposed model for monitoring and control consists of surface roughness prediction system and decision making subsystem. The artificial neural network was employed to calculate surface roughness parameter Ra through of process monitoring indices such as torque Mz, force Fz, power P and cutting conditions feed f, cutting speed vc. Test samples were nickel based super alloy Udimet 720 used as a basic constructional material of discs for gas turbine engines.


2013 ◽  
Vol 2 (3) ◽  
pp. 42-54 ◽  
Author(s):  
Tran Trong Dao ◽  
Ivan Zelinka ◽  
Vo Hoang Duy

This work deals with using a method of artificial intelligence, mainly the generic probabilistic meta-algorithm can be used in such a difficult task which is analyzed and control of dynamical systems. Simulated annealing (SA) is used in this investigation. The adaptive control system was used in simulations with optimization by Simulated Annealing and the results are presented in graphs.


2012 ◽  
Vol 43 (5) ◽  
pp. 683-695 ◽  
Author(s):  
Yury Grigoryevich Zhivov ◽  
Alexander Mikhaylovich Poedinok

2019 ◽  
pp. 41-48
Author(s):  
Yan Guojun ◽  
Oleksiy Kozlov ◽  
Oleksandr Gerasin ◽  
Galyna Kondratenko

The article renders the special features of the design of a tracked mobile robot (MR) for moving over inclined ferromagnetic surfaces while performing specified technological operations. There is conducted a synthesis of the functional structure and selective technological parameters (such as control coordinates) of the computerized monitoring and control system (CMCS) intended for use with this MR. Application of the CMCS with the proposed functional structure allows substantially increasing the accuracy of the MR monitoring and control, which in turn provides for a considerable enhancement in the quality and economic efficiency of the operations on processing of large ferromagnetic surfaces.


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