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Title:Fuzzy control strategy for an adaptive force control in end-milling
Authors:ID Župerl, Uroš (Author)
ID Čuš, Franc (Author)
ID Milfelner, Matjaž (Author)
Files:URL http://dx.doi.org/10.1016/j.jmatprotec.2005.02.143
 
Language:English
Work type:Unknown
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Abstract: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.
Keywords:automatic control, end milling, adaptive force control, fuzzy adaptive control
Year of publishing:2005
PID:20.500.12556/DKUM-27009 New window
UDC:[681.5:004.89]:621.914
ISSN on article:0924-0136
COBISS.SI-ID:9464342 New window
NUK URN:URN:SI:UM:DK:P1SC8RCI
Publication date in DKUM:01.06.2012
Views:1997
Downloads:94
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Journal of materials processing technology
Shortened title:J. mater. process. technol.
Publisher:Elsevier
ISSN:0924-0136
COBISS.SI-ID:30105600 New window

Secondary language

Language:English
Keywords:avtomatska regulacija, oblikovno frezanje, adaptivna regulacija sil, mehki adaptivni sistem vodenja


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