<?xml version="1.0"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://dk.um.si/IzpisGradiva.php?id=27009"><dc:title>Fuzzy control strategy for an adaptive force control in end-milling</dc:title><dc:creator>Župerl,	Uroš	(Avtor)
	</dc:creator><dc:creator>Čuš,	Franc	(Avtor)
	</dc:creator><dc:creator>Milfelner,	Matjaž	(Avtor)
	</dc:creator><dc:subject>automatic control</dc:subject><dc:subject>end milling</dc:subject><dc:subject>adaptive force control</dc:subject><dc:subject>fuzzy adaptive control</dc:subject><dc:description>This paper discusses the application of fuzzy adaptive control strategy to the problem of cutting force control in high speed end-milling operations. The research is concerned with integrating adaptive control with a standard computer numerical controller (CNC) for optimising a metal-cutting process. It is designed to adaptively maximise the feed-rate subject to allowable cutting force on the tool, which is very beneficial for a time consuming complex shape machining. The purpose is to present a reliable, robust neural controller aimed at adaptively adjusting feed-rate to prevent excessive tool wear, tool breakage and maintain a high chip removal rate. Numerous simulations and experiments are conducted to confirm the efficiency of this architecture.</dc:description><dc:date>2005</dc:date><dc:date>2012-06-01 09:37:04</dc:date><dc:type>Neznano</dc:type><dc:identifier>27009</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
