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Optimization of spring parameters by using the Bees algorithm for the foldable wing mechanism
In this study, the design of the torsion and compression springs of the foldable wing mechanism used in the missile is considered an optimization problem. After the missile leaves the tube, the wings waiting in a closed state must be opened and fixed within a specific time. The study it is aimed to...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763473/ https://www.ncbi.nlm.nih.gov/pubmed/36536051 http://dx.doi.org/10.1038/s41598-022-26361-1 |
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author | Sahin, Murat Kulunk, Zafer |
author_facet | Sahin, Murat Kulunk, Zafer |
author_sort | Sahin, Murat |
collection | PubMed |
description | In this study, the design of the torsion and compression springs of the foldable wing mechanism used in the missile is considered an optimization problem. After the missile leaves the tube, the wings waiting in a closed state must be opened and fixed within a specific time. The study it is aimed to maximize the energy stored by the springs so that the wing can be opened in a minimum time. In this context, the energy equation in both publications is defined as the objective function in the optimization process. Wire diameter, coiling diameter, coiling number, and deflection parameters required for spring design were determined as optimization variables. There are geometrical constraints for the variables due to the dimensions of the mechanism and there are also safety factor constraints due to the loads to which the springs are exposed. The Bees Algorithm (BA) was used to solve this optimization problem and perform the spring design. The energy values obtained with BA were better than the values obtained with the Design of Experiment (DOE) study before. The springs and mechanism designed with the parameters obtained from the optimization were first analyzed in the ADAMS program. Afterward, experimental tests carried out by integrating the produced springs into the actual mechanism. As a result of the tests, it was observed that the wing opened at approximately 90 ms. This value is well below the project target of 200 ms. In addition, there is only a 16 ms difference between the analysis and the experimental results. |
format | Online Article Text |
id | pubmed-9763473 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97634732022-12-21 Optimization of spring parameters by using the Bees algorithm for the foldable wing mechanism Sahin, Murat Kulunk, Zafer Sci Rep Article In this study, the design of the torsion and compression springs of the foldable wing mechanism used in the missile is considered an optimization problem. After the missile leaves the tube, the wings waiting in a closed state must be opened and fixed within a specific time. The study it is aimed to maximize the energy stored by the springs so that the wing can be opened in a minimum time. In this context, the energy equation in both publications is defined as the objective function in the optimization process. Wire diameter, coiling diameter, coiling number, and deflection parameters required for spring design were determined as optimization variables. There are geometrical constraints for the variables due to the dimensions of the mechanism and there are also safety factor constraints due to the loads to which the springs are exposed. The Bees Algorithm (BA) was used to solve this optimization problem and perform the spring design. The energy values obtained with BA were better than the values obtained with the Design of Experiment (DOE) study before. The springs and mechanism designed with the parameters obtained from the optimization were first analyzed in the ADAMS program. Afterward, experimental tests carried out by integrating the produced springs into the actual mechanism. As a result of the tests, it was observed that the wing opened at approximately 90 ms. This value is well below the project target of 200 ms. In addition, there is only a 16 ms difference between the analysis and the experimental results. Nature Publishing Group UK 2022-12-19 /pmc/articles/PMC9763473/ /pubmed/36536051 http://dx.doi.org/10.1038/s41598-022-26361-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Sahin, Murat Kulunk, Zafer Optimization of spring parameters by using the Bees algorithm for the foldable wing mechanism |
title | Optimization of spring parameters by using the Bees algorithm for the foldable wing mechanism |
title_full | Optimization of spring parameters by using the Bees algorithm for the foldable wing mechanism |
title_fullStr | Optimization of spring parameters by using the Bees algorithm for the foldable wing mechanism |
title_full_unstemmed | Optimization of spring parameters by using the Bees algorithm for the foldable wing mechanism |
title_short | Optimization of spring parameters by using the Bees algorithm for the foldable wing mechanism |
title_sort | optimization of spring parameters by using the bees algorithm for the foldable wing mechanism |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763473/ https://www.ncbi.nlm.nih.gov/pubmed/36536051 http://dx.doi.org/10.1038/s41598-022-26361-1 |
work_keys_str_mv | AT sahinmurat optimizationofspringparametersbyusingthebeesalgorithmforthefoldablewingmechanism AT kulunkzafer optimizationofspringparametersbyusingthebeesalgorithmforthefoldablewingmechanism |