Control of Milling Machine Cutting Force Using Artificial Neural Networks

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2011

Autores

Gomes, L (Autor) Outra; Armando Jorge Sousa (Autor) FEUP

Ata de Conferência Internacional

Título: SISTEMAS E TECNOLOGIAS DE INFORMACAO, VOL I

Páginas: 354-359

6th Iberian Information Systems and Technologies Conference

Chaves, PORTUGAL, JUN 15-18, 2011

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 2 Citações

Outras Informações

ID Authenticus: P-002-WCG

Abstract (EN): The constant search of industry for productivity raises and market shares, pushes forward the development of new products capable of giving an answer to these concerns. Specifically the tool-machines makers have tried to solve these problems incrementing the capability of the machines they produce, essentially in speed and precision. The recent study of some problems associated to the machining process, has revealed the possibility of incrementing the productivity of some of vertical milling machine, only through the force control, keeping it constant and equal to the optimum value defined for the tool. The cutting force control, due to the system characteristics, can only be implemented by making use of adaptive control. In order to implement adaptive controllers we have at our disposal two technologies that have been showing good results. These technologies are Neural Networks and Fuzzy Logic. We thought that it would be of interest to research the use of Artificial Neural Networks in implementation of a controller. This has been the objective for the development of the work described in this paper. The results obtained have been encouraging, showing the possibility of implementing those controllers in real systems.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6