Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi !

Optimality search and advanced regulation method of nc milling (CROSBI ID 591443)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Čuš, Franci ; Veža, Ivica ; Paulić, Matej ; Irgolić, Tomaž 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

Podaci o odgovornosti

Čuš, Franci ; Veža, Ivica ; Paulić, Matej ; Irgolić, Tomaž

engleski

Optimality search and advanced regulation method of nc milling

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.

Milling; Neural Network; Regulation; Cutting Forces; Numerical Control

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o prilogu

943-946.

2012.

objavljeno

Podaci o matičnoj publikaciji

Annals of DAAAM for 2012. & Proceedings of the 23rd International DAAAM Symposium

Katalinić, Branko

Beč: DAAAM International Vienna

978-3-901509-91-9

Podaci o skupu

23rd International DAAAM Symposium Intelligent Manufacturing & Automation: Focus on Sustainability

predavanje

22.10.2012-28.10.2012

Zadar, Hrvatska

Povezanost rada

Strojarstvo