Pregled bibliografske jedinice broj: 285709
Adaptive Control Model for Maintaining Tool Wear Rate in the Predefined Cutting Time
Adaptive Control Model for Maintaining Tool Wear Rate in the Predefined Cutting Time // Proceedings of the 17th International DAAAM Symposium, 2006. / Katalinic, Branko (ur.).
Beč: DAAAM International Vienna, 2006. str. 063-064 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 285709 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Adaptive Control Model for Maintaining Tool Wear Rate in the Predefined Cutting Time
Autori
Brezak, Danko ; Majetić, Dubravko ; Udiljak, Toma ; Novaković, Branko ; Kasać, Josip
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 17th International DAAAM Symposium, 2006.
/ Katalinic, Branko - Beč : DAAAM International Vienna, 2006, 063-064
Skup
The 17th INTERNATIONAL DAAAM SYMPOSIUM “ ; Intelligent Manufacturing & Automation: Focus on Mechatronics and Robotics” ;
Mjesto i datum
Beč, Austrija, 08.11.2006. - 11.11.2006
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Adaptive Machine Control; Neural Networks; Tool Durability Control; Machining Process Productivity
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
