PSO for selecting cutting tools geometry

Orlando Duran, Nibaldo Rodriguez, Luiz Airton Consalter

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

6 Citas (Scopus)


Today an extensive variety of cutting tool is available to suit different cutting situations and needs. Cutting tool selection is a very important subtask involved in process planning activities. This paper proposes the application of the particle swarm optimization (PSO) process for the definition of the optimal cutting tool geometry. This optimization model was developed considering an approach to the macro-level optimization of tool geometry in machining model satisfying technological constraints. To determine the most appropriate configuration of the algorithm and its parameters a set of tests were carried out. The different parameters settings were tested against data obtained from the literature. 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 system also has presented the following main conclusion: through the utilization of the PSO approach, the selection of the appropriate cutting tool geometry is possible in real world environments.

Idioma originalInglés
Título de la publicación alojadaHybrid Artificial Intelligence Systems - Third International Workshop, HAIS 2008, Proceedings
Número de páginas8
EstadoPublicada - 2008
Publicado de forma externa
Evento3rd International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2008 - Burgos, Espana
Duración: 24 sept. 200826 sept. 2008

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen5271 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349


Conferencia3rd International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2008


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