Automatic selection of cutting tools geometry using an evolutionary approach

Orlando Duran, Nibaldo Rodriguez, Luiz Airton Consalter

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

This paper presents the application of an evolutionary algorithm for the definition of the optimal cutting tool geometry in machining operations. In essence, the proposed approach points to the use of a genetic algorithm for selecting adequate cutting tool angles. This optimization approach was developed considering a Macro Optimization Model reported in the literature. To determine the most appropriate configuration of the genetic algorithm and its parameters a set of tests were carried out. The different algorithm settings were tested against data obtained from experimental test carried out and provided by the authors of the optimization model. A variety of simulations were carried out to validate the performance of the system and to show the usefulness of the applied approach. The definition of proposed approach also has presented the following main conclusion: through the utilization of the evolutionary approach, the selection of the appropriate cutting tool geometry is possible in real world environments.

Idioma originalInglés
Título de la publicación alojadaNew Frontiers in Applied Artificial Intelligence - 21st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2008, Proceedings
Páginas561-569
Número de páginas9
DOI
EstadoPublicada - 2008
Publicado de forma externa
Evento21st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2008 - Wroclaw, Polonia
Duración: 18 jun. 200820 jun. 2008

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen5027 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia21st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2008
País/TerritorioPolonia
CiudadWroclaw
Período18/06/0820/06/08

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