Flank wear regulation using artificial neural networks

Brezak, Danko and Majetić, Dubravko and Udiljak, Toma and Kasać, Josip (2010) Flank wear regulation using artificial neural networks. = Flank wear regulation using artificial neural networks. Journal of Mechanical Science and Technology, 24 (5). pp. 1041-1052. ISSN 1738-494X. Vrsta rada: ["eprint_fieldopt_article_type_article" not defined]. Kvartili JCR: Q3 (2010). Točan broj autora: 4.

[img] Text
Flank Wear Regulation Using Artificial Neural Networks.pdf - Published Version
Restricted to IP adress Jezik dokumenta:English

Download (836kB)
Official URL: http://link.springer.com/article/10.1007%2Fs12206-...


Tool wear regulation highly influences product quality and the safety and productivity of machining processes. Hence, it is one of the most important elements in the supervisory control of machine tools. The development of this type of machine tool adaptive control is practically at its infancy because there are still no industrial solutions concerning robust, reliable, and highly precise continuous tool wear estimators. Therefore, this paper primarily aims at the determination of a tool wear regulation model that can ensure the maximum allowed amount of tool wear rate within a predefined machining time, while simultaneously maintaining a high level of process productivity. The proposed model is structured using Radial Basis Function Neural Network controller and Modified Dynamical Neural Network filter. It is analysed using an analytical tool wear model with experimentally adjusted parameters.

Item Type: Article (["eprint_fieldopt_article_type_article" not defined])
Keywords (Croatian): adaptive control; analytical tool; artificial neural network; dynamical neural networks; flank wear; industrial solutions; machining process; machining time; process productivity; product quality; radial basis function neural networks; regulation models; supervisory control; tool wear; tool wear rate; tool wear regulation; machine tools; machining; productivity; radial basis function networks; wear of materials; neural networks
Subjects: TECHNICAL SCIENCE > Mechanical Engineering
Divisions: 1200 Department of Technology > 1230 Chair of Machine Tools
900 Department of Robotics and Production System Automation > 910 Chair of Engineering Automation
Indexed in Web of Science: Yes
Indexed in Current Contents: Yes
Quartiles: Q3 (2010)
Date Deposited: 13 Apr 2015 09:33
Last Modified: 15 Nov 2018 13:01
URI: http://repozitorij.fsb.hr/id/eprint/3692

Actions (login required)

View Item View Item


Downloads per month over past year