DocumentCode :
3113767
Title :
Intelligent monitoring and decision control system for peripheral milling process
Author :
Vallejo, Antonio J. ; Morales-Menendez, Ruben ; Alique, J.R.
Author_Institution :
Tecnol. de Monterrey, Monterrey
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
1620
Lastpage :
1625
Abstract :
The aeronautic and automotive industries demand high quality products. Different aluminium alloys are used to produce them exploiting high speed machining (HSM) systems. HSM needs intelligent features such as monitoring and decision control. A framework that consists of four modules: data acquisition system, cutting tool monitoring, surface roughness prediction and intelligent planning module is presented. The planning module exploits genetic algorithms and Markov decision processes. This module supports and guides the operator in the operation of the CNC. Early results validate the benefits of this system in peripheral milling process, with a decrease between 18 % and 60 % in the operation costs.
Keywords :
Markov processes; computerised numerical control; cutting tools; data acquisition; decision theory; genetic algorithms; intelligent control; milling; statistical process control; CNC; Markov decision process; aeronautic industry; aluminium alloy; automotive industry; cutting tool monitoring; data acquisition system; decision control system; genetic algorithm; high speed machining system; intelligent monitoring; intelligent planning module; peripheral milling process; surface roughness prediction; Aerospace industry; Aluminum alloys; Automotive engineering; Control systems; Electrical equipment industry; Intelligent systems; Machinery production industries; Machining; Milling; Monitoring; Cutting Tool Wear; High Speed Machining; Intelligent Monitoring and Planning System; Markov Decision Process; Surface Roughness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
Conference_Location :
Singapore
ISSN :
1062-922X
Print_ISBN :
978-1-4244-2383-5
Electronic_ISBN :
1062-922X
Type :
conf
DOI :
10.1109/ICSMC.2008.4811519
Filename :
4811519
Link To Document :
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