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<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><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:identifier>UDK: [681.5:004.89]:621.914</dc:identifier><dc:identifier>COBISS_ID: 9464342</dc:identifier><dc:identifier>ISSN pri članku: 0924-0136</dc:identifier><dc:identifier>NUK URN: URN:SI:UM:DK:P1SC8RCI</dc:identifier><dc:language>sl</dc:language></metadata>
