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Optimising a shaft’s geometry by applying genetic algorithms
Optimización de la geometría de un eje aplicando algoritmos genéticos
DOI:
https://doi.org/10.15446/ing.investig.v25n2.14631Keywords:
multiobjective optimisation, generic algorithms, mechanical design, shafts (en)optimización multiobjetivo, algoritmos genéticos, diseño mecánico, ejes (es)
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Many engineering design tasks involve optimizing several conflicting goals; these types of problem are known as Multiobjective Optimization Problems (MOPs). Evolutionary techniques have proved to be an effective tool for finding solutions to these MOPs during the last decade. Variations on the basic genetic algorithm have been particularly proposed by different researchers for finding rapid optimal solutions to MOPs. The NSGA (Non-dominated Sorting Genetic Algorithm) has been implemented in this paper for finding an optimal design for a shaft subjected to cyclic loads, the conflicting goals being minimum weight and minimum lateral deflection.
Muchos problemas de diseño de ingeniería involucran la maximización o minimización de más de una función objetivo. Para la solución de este tipo de problemas, conocidos como Problemas de Optimización Multiobjetivo (POM), en la última década las técnicas evolutivas han demostrado ser una herramienta efectiva y eficiente.
Particularmente, varios algoritmos genéticos han sido propuestos por diversos autores, los cuales permiten hallar en un tiempo corto soluciones óptimas a problemas multiobjetivo. En este artículo se desarrolla una aplicación del algoritmo NSGA (Non-dominated Sorting Genetic Algorithm) que permite obtener geometrías óptimas para el eje de una máquina herramienta sometido a cargas cíclicas, para el cual se busca minimizar simultáneamente su peso y su deflexión lateral máxima.
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1. Juan P. Guamán, Hugo E. Crespo, César A. Paltán, Jorge I. Fajardo. (2024). Propuesta de mejora en el sistema estructural de un cuadro rígido de bicicleta de montaña de 15” R29, mediante FEA y optimización geométrica. Ingenius, (31), p.106. https://doi.org/10.17163/ings.n31.2024.09.
2. M. A. Rodriguez-Cabal, J. D. Betancur-Gómez, L. F. Grisales-Noreña, Oscar Danilo Montoya, Diego Hincapie. (2021). Optimal Design of Transmission Shafts Using a Vortex Search Algorithm. Arabian Journal for Science and Engineering, 46(4), p.3293. https://doi.org/10.1007/s13369-020-05121-1.
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Copyright (c) 2005 María Alejandra Guzmán, Alberto Delgado
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