Uroš Župerl (Author), Franc Čuš (Author), Matjaž Milfelner (Author)

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

avtomatska regulacija;oblikovno frezanje;adaptivna regulacija sil;mehki adaptivni sistem vodenja;automatic control;end milling;adaptive force control;fuzzy adaptive control;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UM FS - Faculty of Mechanical Engineering
UDC: [681.5:004.89]:621.914
COBISS: 9464342 Link will open in a new window
ISSN: 0924-0136
Views: 1555
Downloads: 77
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Other data

Secondary language: English
Secondary keywords: avtomatska regulacija;oblikovno frezanje;adaptivna regulacija sil;mehki adaptivni sistem vodenja;
URN: URN:SI:UM:
Pages: str. 1472-1478
Issue: ǂVol. ǂ164-165
Chronology: 15. maj 2005
ID: 8718280