NC End Milling Optimization within CAD/CAM System using Particle Swarm Optimization

Ernesto Lo Valvo; Mario Piacentini

NC End Milling Optimization within CAD/CAM System using Particle Swarm Optimization

Architettura

Risultato della ricerca: Other

Abstract

The authors have been set up an optimization procedure, based on Particle Swarm Optimization(PSO) evolutionary algorithm, that has been enclosed in FeatureCAM, a commercial CAD/CAMsoftware, to automatic determine milling optimal cutting parameters. The Particle SwarmOptimization has been selected because it is very effective to solve optimization problemscharacterized from complex objective functions and high bonds number. This algorithm also allows to obtain a near optimal solution with a very few iterations and then a computational limited time,characteristic very important to integrate the procedure in a CAD/CAM system.

Lingua originale	English
Pagine	357-362
Stato di pubblicazione	Published - 2004

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title = "NC End Milling Optimization within CAD/CAM System using Particle Swarm Optimization",

abstract = "The authors have been set up an optimization procedure, based on Particle Swarm Optimization(PSO) evolutionary algorithm, that has been enclosed in FeatureCAM, a commercial CAD/CAMsoftware, to automatic determine milling optimal cutting parameters. The Particle SwarmOptimization has been selected because it is very effective to solve optimization problemscharacterized from complex objective functions and high bonds number. This algorithm also allows to obtain a near optimal solution with a very few iterations and then a computational limited time,characteristic very important to integrate the procedure in a CAD/CAM system.",

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AU - Lo Valvo, Ernesto

AU - Piacentini, Mario

PY - 2004

Y1 - 2004

N2 - The authors have been set up an optimization procedure, based on Particle Swarm Optimization(PSO) evolutionary algorithm, that has been enclosed in FeatureCAM, a commercial CAD/CAMsoftware, to automatic determine milling optimal cutting parameters. The Particle SwarmOptimization has been selected because it is very effective to solve optimization problemscharacterized from complex objective functions and high bonds number. This algorithm also allows to obtain a near optimal solution with a very few iterations and then a computational limited time,characteristic very important to integrate the procedure in a CAD/CAM system.

AB - The authors have been set up an optimization procedure, based on Particle Swarm Optimization(PSO) evolutionary algorithm, that has been enclosed in FeatureCAM, a commercial CAD/CAMsoftware, to automatic determine milling optimal cutting parameters. The Particle SwarmOptimization has been selected because it is very effective to solve optimization problemscharacterized from complex objective functions and high bonds number. This algorithm also allows to obtain a near optimal solution with a very few iterations and then a computational limited time,characteristic very important to integrate the procedure in a CAD/CAM system.

UR - http://hdl.handle.net/10447/3032

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