Optimal design of a foot prosthesis insole with composite materials applying metaheuristic algorithms
This paper applies a methodology based on the design and topological optimisation of composite materials using metaheuristic algorithms. Artificial Bee Colony (ABC) and Differential Evolution (DE) algorithms are used to determine the appropriate parameters that enable the designed piece to withstand...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-03-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123021001237 |
| _version_ | 1818157632388595712 |
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| author | Derlis Hernández-Lara Ricardo Gustavo Rodríguez-Cañizo Emmanuel Alejandro Merchán-Cruz Álvaro Marcos Santiago-Miguel Emmanuel Tonatihu Juárez-Velázquez Carlos Alfonso Trejo-Villanueva |
| author_facet | Derlis Hernández-Lara Ricardo Gustavo Rodríguez-Cañizo Emmanuel Alejandro Merchán-Cruz Álvaro Marcos Santiago-Miguel Emmanuel Tonatihu Juárez-Velázquez Carlos Alfonso Trejo-Villanueva |
| author_sort | Derlis Hernández-Lara |
| collection | DOAJ |
| description | This paper applies a methodology based on the design and topological optimisation of composite materials using metaheuristic algorithms. Artificial Bee Colony (ABC) and Differential Evolution (DE) algorithms are used to determine the appropriate parameters that enable the designed piece to withstand the specific loads. The main problem in these designs is finding the right thickness of the piece, which involves defining the number of layers and fibre orientations of all possible combinations of composite laminates. Given the complexity of designing with these materials, posing the problem of designing an insole for Latin American users made of carbon fibre for lower limb prostheses as an optimisation problem, and solving it using metaheuristic techniques and evolutionary computation, will improve the process by generating functional solutions that are feasible to manufacture and in less time than traditional design methods. This hypothesis is proven by the results presented in this work, in which a functional design is obtained, feasible to manufacture, validated by the finite element method, without waste of material and in an acceptable time. |
| first_indexed | 2024-12-11T15:17:17Z |
| format | Article |
| id | doaj.art-11fe09a0fcd741fab49ae6317564ba80 |
| institution | Directory Open Access Journal |
| issn | 2590-1230 |
| language | English |
| last_indexed | 2024-12-11T15:17:17Z |
| publishDate | 2022-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj.art-11fe09a0fcd741fab49ae6317564ba802022-12-22T01:00:31ZengElsevierResults in Engineering2590-12302022-03-0113100322Optimal design of a foot prosthesis insole with composite materials applying metaheuristic algorithmsDerlis Hernández-Lara0Ricardo Gustavo Rodríguez-Cañizo1Emmanuel Alejandro Merchán-Cruz2Álvaro Marcos Santiago-Miguel3Emmanuel Tonatihu Juárez-Velázquez4Carlos Alfonso Trejo-Villanueva5Instituto Politécnico Nacional, ESIME UA, Mexico City, Mexico; Tecnológico Nacional de México, Tecnológico de Estudios Superiores de Ecatepec, State of Mexico, Mexico; Universidad Politécnica de Texcoco, State of Mexico, Mexico; Corresponding author. Instituto Politecnico Nacional, ESIME UA, Mexico City, Mexico.Instituto Politécnico Nacional, ESIME UA, Mexico City, MexicoInstituto Politécnico Nacional, ESIME UA, Mexico City, Mexico; Transport and Telecommunication Institute, Riga, LatviaInstituto Politécnico Nacional, ESIME UA, Mexico City, Mexico; Universidad Politécnica de Texcoco, State of Mexico, MexicoTecnológico Nacional de México, Tecnológico de Estudios Superiores de Ecatepec, State of Mexico, Mexico; Universidad Tecnológica de México, Mexico City, MexicoInstituto Politécnico Nacional, ESIME UA, Mexico City, Mexico; Tecnológico Nacional de México, Tecnológico de Estudios Superiores de Ecatepec, State of Mexico, MexicoThis paper applies a methodology based on the design and topological optimisation of composite materials using metaheuristic algorithms. Artificial Bee Colony (ABC) and Differential Evolution (DE) algorithms are used to determine the appropriate parameters that enable the designed piece to withstand the specific loads. The main problem in these designs is finding the right thickness of the piece, which involves defining the number of layers and fibre orientations of all possible combinations of composite laminates. Given the complexity of designing with these materials, posing the problem of designing an insole for Latin American users made of carbon fibre for lower limb prostheses as an optimisation problem, and solving it using metaheuristic techniques and evolutionary computation, will improve the process by generating functional solutions that are feasible to manufacture and in less time than traditional design methods. This hypothesis is proven by the results presented in this work, in which a functional design is obtained, feasible to manufacture, validated by the finite element method, without waste of material and in an acceptable time.http://www.sciencedirect.com/science/article/pii/S2590123021001237Evolutionary algorithmsMetaheuristic optimisationDesign methodologiesComposite materialsProsthetic insoleLower limb |
| spellingShingle | Derlis Hernández-Lara Ricardo Gustavo Rodríguez-Cañizo Emmanuel Alejandro Merchán-Cruz Álvaro Marcos Santiago-Miguel Emmanuel Tonatihu Juárez-Velázquez Carlos Alfonso Trejo-Villanueva Optimal design of a foot prosthesis insole with composite materials applying metaheuristic algorithms Results in Engineering Evolutionary algorithms Metaheuristic optimisation Design methodologies Composite materials Prosthetic insole Lower limb |
| title | Optimal design of a foot prosthesis insole with composite materials applying metaheuristic algorithms |
| title_full | Optimal design of a foot prosthesis insole with composite materials applying metaheuristic algorithms |
| title_fullStr | Optimal design of a foot prosthesis insole with composite materials applying metaheuristic algorithms |
| title_full_unstemmed | Optimal design of a foot prosthesis insole with composite materials applying metaheuristic algorithms |
| title_short | Optimal design of a foot prosthesis insole with composite materials applying metaheuristic algorithms |
| title_sort | optimal design of a foot prosthesis insole with composite materials applying metaheuristic algorithms |
| topic | Evolutionary algorithms Metaheuristic optimisation Design methodologies Composite materials Prosthetic insole Lower limb |
| url | http://www.sciencedirect.com/science/article/pii/S2590123021001237 |
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