Adaptive Control Model for Maintaining Tool Wear Rate in the Predefined Cutting Time (CROSBI ID 525561)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Brezak, Danko ; Majetić, Dubravko ; Udiljak, Toma ; Novaković, Branko ; Kasać, Josip
engleski
Adaptive Control Model for Maintaining Tool Wear Rate in the Predefined Cutting Time
This paper presents machine tool adaptive control concept for preserving cutting tool durability in the sense of ensuring maximum allowed amount of tool wear rate in the predefined machining time using cutting speed as a control parameter. Additionally, it also needs to maintain the high level of machining process productivity. The proposed model is configured using Radial Basis Function neurocontroller with Modified Dynamical Neural Network filter and is analyzed using analytical tool wear model which parameters are set by the experimentally recorded data.
Adaptive Machine Control; Neural Networks; Tool Durability Control; Machining Process Productivity
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Podaci o prilogu
063-064-x.
2006.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 17th International DAAAM Symposium, 2006.
Katalinic, Branko
Beč: DAAAM International Vienna
Podaci o skupu
The 17th INTERNATIONAL DAAAM SYMPOSIUM “ ; Intelligent Manufacturing & Automation: Focus on Mechatronics and Robotics” ;
poster
08.11.2006-11.11.2006
Beč, Austrija