Insights on the use of genetic algorithm to tessellate voronoi structures in materials science
The advances in manufacturing technologies have enabled the production of Voronoi structures. The main advantage of these complex designs is their lightweight and enhanced mechanical properties, such as high buckling resistance. Some applications of Voronoi structures are in reducing the weight of a...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Journal of Materials Research and Technology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2238785424028667 |
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| _version_ | 1832595309020053504 |
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| author | Luana Souza Almeida Paulo Rangel Rios |
| author_facet | Luana Souza Almeida Paulo Rangel Rios |
| author_sort | Luana Souza Almeida |
| collection | DOAJ |
| description | The advances in manufacturing technologies have enabled the production of Voronoi structures. The main advantage of these complex designs is their lightweight and enhanced mechanical properties, such as high buckling resistance. Some applications of Voronoi structures are in reducing the weight of automotive and aerospace parts and developing biomedical implants. Metaheuristics are being used to optimize these structures while improving their mechanical properties. Hence, in this study, a systematic review is conducted to identify the trends and gaps in the use of the Genetic Algorithm to optimize two and three-dimensional Voronoi structures. The results mapped seven application domains and suggest that future research should combine manufacturability and optimization constraints, such as additive manufacturing restrictions. In addition, alternative materials (e.g., ceramics and metals) could be used to create specimens for the mechanical tests, and other approaches to finite element simulation are required to speed up the optimization process. The quantitative analysis suggests that this is an emerging topic, with few researchers in local groups cooperating to develop the field. |
| format | Article |
| id | doaj-art-2203de33cfb746119abda2a1c53f0805 |
| institution | Kabale University |
| issn | 2238-7854 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Materials Research and Technology |
| spelling | doaj-art-2203de33cfb746119abda2a1c53f08052025-01-19T06:25:15ZengElsevierJournal of Materials Research and Technology2238-78542025-01-0134449462Insights on the use of genetic algorithm to tessellate voronoi structures in materials scienceLuana Souza Almeida0Paulo Rangel Rios1Universidade Federal Fluminense, Escola de Engenharia Industrial Metalúrgica de Volta Redonda, Avenida dos Trabalhadores, 420, Volta Redonda, Rio de Janeiro, 27255-125, Brazil; Universidade do Estado do Rio de Janeiro, Faculdade de Tecnologia, Av. Dr. Omar Dibo Calixto Afrange, Polo Industrial, Resende, RJ, 27537-000, Brazil; Corresponding author. Universidade Federal Fluminense, Escola de Engenharia Industrial Metalúrgica de Volta Redonda, Avenida dos Trabalhadores, 420, Volta Redonda, Rio de Janeiro, 27255-125, Brazil.Universidade Federal Fluminense, Escola de Engenharia Industrial Metalúrgica de Volta Redonda, Avenida dos Trabalhadores, 420, Volta Redonda, Rio de Janeiro, 27255-125, BrazilThe advances in manufacturing technologies have enabled the production of Voronoi structures. The main advantage of these complex designs is their lightweight and enhanced mechanical properties, such as high buckling resistance. Some applications of Voronoi structures are in reducing the weight of automotive and aerospace parts and developing biomedical implants. Metaheuristics are being used to optimize these structures while improving their mechanical properties. Hence, in this study, a systematic review is conducted to identify the trends and gaps in the use of the Genetic Algorithm to optimize two and three-dimensional Voronoi structures. The results mapped seven application domains and suggest that future research should combine manufacturability and optimization constraints, such as additive manufacturing restrictions. In addition, alternative materials (e.g., ceramics and metals) could be used to create specimens for the mechanical tests, and other approaches to finite element simulation are required to speed up the optimization process. The quantitative analysis suggests that this is an emerging topic, with few researchers in local groups cooperating to develop the field.http://www.sciencedirect.com/science/article/pii/S2238785424028667VoronoiTessellationGenetic algorithmmetaheuristic |
| spellingShingle | Luana Souza Almeida Paulo Rangel Rios Insights on the use of genetic algorithm to tessellate voronoi structures in materials science Journal of Materials Research and Technology Voronoi Tessellation Genetic algorithm metaheuristic |
| title | Insights on the use of genetic algorithm to tessellate voronoi structures in materials science |
| title_full | Insights on the use of genetic algorithm to tessellate voronoi structures in materials science |
| title_fullStr | Insights on the use of genetic algorithm to tessellate voronoi structures in materials science |
| title_full_unstemmed | Insights on the use of genetic algorithm to tessellate voronoi structures in materials science |
| title_short | Insights on the use of genetic algorithm to tessellate voronoi structures in materials science |
| title_sort | insights on the use of genetic algorithm to tessellate voronoi structures in materials science |
| topic | Voronoi Tessellation Genetic algorithm metaheuristic |
| url | http://www.sciencedirect.com/science/article/pii/S2238785424028667 |
| work_keys_str_mv | AT luanasouzaalmeida insightsontheuseofgeneticalgorithmtotessellatevoronoistructuresinmaterialsscience AT paulorangelrios insightsontheuseofgeneticalgorithmtotessellatevoronoistructuresinmaterialsscience |