Title :
Optimization rules for mill cutter and cutting parameters selection incorporating a control algorithm
Author :
Rubio, L. ; La Sen, M. De
Author_Institution :
Univ. del Pais Vasco, Bilbao
Abstract :
In this paper an optimization procedure has been developed in order to select mill cutter and cutting parameters. For the purpose a cost function, which compares system performance, is contrived. An example is presented to illustrate the method.
Keywords :
cutting; milling; optimisation; control algorithm; cost function; cutting parameters selection; mill cutter; optimization rules; Control systems; Cost function; Equations; Feeds; Force control; Machine tools; Milling machines; Stability; System performance; Velocity control;
Conference_Titel :
Emerging Technologies and Factory Automation, 2007. ETFA. IEEE Conference on
Conference_Location :
Patras
Print_ISBN :
978-1-4244-0825-2
Electronic_ISBN :
978-1-4244-0826-9
DOI :
10.1109/EFTA.2007.4416952