| Title: | Intelligent adaptive cutting force control in end-milling |
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| Authors: | ID Župerl, Uroš (Author)
ID Čuš, Franc (Author)
ID Kiker, Edvard (Author) |
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| Files: |  Tehnicki_vjesnik_2006_Zuperl,_Cus,_Kiker_Intelligent_adaptive_cutting_force_control_in_end-milling.pdf (3,43 MB)
MD5: 0B74AAA9BDDDCF793D5554DFF619E7DA
PID: 20.500.12556/dkum/c7ac988c-9d16-4040-92c6-58a5edba12b8
 http://hrcak.srce.hr/8842
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FS - Faculty of Mechanical Engineering
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| Abstract: | In this article, an adaptive neural controller for the ball end-milling process is described. Architecture with two different kinds of neural networks is proposed, and is used for the on-line optimal control of the milling process. A BP neural network is used to identify the milling state and to determin the optimal cutting inputs. The feedrate is selected as the optimised variable, and the milling state is estimated by the measured cutting force. The adaptive controller is operated by a PC and the adjusted feedrates are sent to the CNC. The purpose of this article 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. The goal is also to obtain an improvement of the milling process productivity by the use of an automatic regulation of the cutting force. Numerous simulations are conducted to confirm the efficiency of this architecture. The proposed architecture for on-line determining of optimal cutting conditions is applied to ball end-milling in this paper, but it is obvious that the system can be extended to other machines to improve cutting efficiency. |
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| Keywords: | end milling, adaptive force control, neuron controller, cutting conditions, adaptive control systems |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Year of publishing: | 2006 |
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| Number of pages: | str. 15-22 |
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| Numbering: | Letn. 13, št. 1/2 |
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| PID: | 20.500.12556/DKUM-66815  |
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| ISSN: | 1330-3651 |
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| UDC: | 621.914:681.5 |
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| ISSN on article: | 1330-3651 |
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| COBISS.SI-ID: | 10628630 |
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| NUK URN: | URN:SI:UM:DK:FG5SFVAD |
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| Publication date in DKUM: | 12.07.2017 |
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| Views: | 1289 |
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| Downloads: | 136 |
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| Metadata: |    |
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| Categories: | Misc.
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