Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Sahin, Murat, Kulunk, Zafer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
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
_version_ 1784853068538445824
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