Pregled bibliografske jedinice broj: 601063
Optimality search and advanced regulation method of nc milling
Optimality search and advanced regulation method of nc milling // Annals of DAAAM for 2012. & Proceedings of the 23rd International DAAAM Symposium / Katalinić, Branko (ur.).
Beč: DAAAM International Vienna, 2012. str. 943-946 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 601063 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Optimality search and advanced regulation method of nc milling
Autori
Čuš, Franci ; Veža, Ivica ; Paulić, Matej ; Irgolić, Tomaž
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Annals of DAAAM for 2012. & Proceedings of the 23rd International DAAAM Symposium
/ Katalinić, Branko - Beč : DAAAM International Vienna, 2012, 943-946
ISBN
978-3-901509-91-9
Skup
23rd International DAAAM Symposium Intelligent Manufacturing & Automation: Focus on Sustainability
Mjesto i datum
Zadar, Hrvatska, 24.10.2012. - 27.10.2012
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Milling; Neural Network; Regulation; Cutting Forces; Numerical Control
Sažetak
Owing to increasing demands and reduce of human impact on milling processes it is necessary that they are regulated and controlled by new regulation methods. In this article neural network method is described and represented on a concrete milling example. Neural network is developed and tested on measured cutting forces which occur in main coordinates. Neural network is formed to predict best cutting parameters and develop new one if necessary. With this method all logical reflection belongs to computer and trained neural network. Those methods reduce human impact and give us better results than standard optimization. During milling process neural network is trained for so long, that relative error is reduced to minimum. Relative error reduction to required values give us better final tolerance results after milling process and help us to increase milling process to higher intelligent level.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Projekti:
023-0231926-2194 - Tehnološko-organizacijsko optimiranje kompetencijske stanice
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split
Profili:
Ivica Veža
(autor)