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Empirical optimization of an angled spoke paddling wheel with self-rotating mechanism

The development of the maritime industry has led to a corresponding increase in maritime accidents. Maritime accidents are major events that are costly to recover and can cause casualties. Moreover, individuals who are brought to the scene for recovery or rescue are at risk. To tackle this issue, th...

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Autores principales: Kim, Chaewon, Han, Seungkyu, Won, Jeeho, Seo, TaeWon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705443/
https://www.ncbi.nlm.nih.gov/pubmed/36443383
http://dx.doi.org/10.1038/s41598-022-25181-7
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author Kim, Chaewon
Han, Seungkyu
Won, Jeeho
Seo, TaeWon
author_facet Kim, Chaewon
Han, Seungkyu
Won, Jeeho
Seo, TaeWon
author_sort Kim, Chaewon
collection PubMed
description The development of the maritime industry has led to a corresponding increase in maritime accidents. Maritime accidents are major events that are costly to recover and can cause casualties. Moreover, individuals who are brought to the scene for recovery or rescue are at risk. To tackle this issue, the wheel mechanism of a water rescue robot, i.e., the angled spoke paddling wheel (ASPW), has been studied. The purpose of this study is to optimize the paddle design parameters of the ASPW using the Taguchi method. Experiments are conducted by creating paddles with various combinations of design parameters using [Formula: see text] ([Formula: see text] ) orthogonal arrays. The objective function is determining the optimal combination of paddle design parameters that will produce the greatest thrust force at the same RPM. Sensitivity analysis of each design parameter is conducted by calculating the signal-to-noise ratio from the experimental results. The pitch angle is found to be the most sensitive parameter. An additional experiment is conducted based on the results of the sensitivity analysis. The results show that the optimal design parameters are a pitch angle of [Formula: see text] , rectangular end shape, X-axis curvature of 37.5 mm, and Y-axis curvature of 25 mm. The paddle with this combination of design parameters have a maximum thrust force of 64.74 gf at 120 RPM and exhibit up to an 18.27% improvement in performance compared with the initial paddle before optimization.
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spelling pubmed-97054432022-11-30 Empirical optimization of an angled spoke paddling wheel with self-rotating mechanism Kim, Chaewon Han, Seungkyu Won, Jeeho Seo, TaeWon Sci Rep Article The development of the maritime industry has led to a corresponding increase in maritime accidents. Maritime accidents are major events that are costly to recover and can cause casualties. Moreover, individuals who are brought to the scene for recovery or rescue are at risk. To tackle this issue, the wheel mechanism of a water rescue robot, i.e., the angled spoke paddling wheel (ASPW), has been studied. The purpose of this study is to optimize the paddle design parameters of the ASPW using the Taguchi method. Experiments are conducted by creating paddles with various combinations of design parameters using [Formula: see text] ([Formula: see text] ) orthogonal arrays. The objective function is determining the optimal combination of paddle design parameters that will produce the greatest thrust force at the same RPM. Sensitivity analysis of each design parameter is conducted by calculating the signal-to-noise ratio from the experimental results. The pitch angle is found to be the most sensitive parameter. An additional experiment is conducted based on the results of the sensitivity analysis. The results show that the optimal design parameters are a pitch angle of [Formula: see text] , rectangular end shape, X-axis curvature of 37.5 mm, and Y-axis curvature of 25 mm. The paddle with this combination of design parameters have a maximum thrust force of 64.74 gf at 120 RPM and exhibit up to an 18.27% improvement in performance compared with the initial paddle before optimization. Nature Publishing Group UK 2022-11-28 /pmc/articles/PMC9705443/ /pubmed/36443383 http://dx.doi.org/10.1038/s41598-022-25181-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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
Kim, Chaewon
Han, Seungkyu
Won, Jeeho
Seo, TaeWon
Empirical optimization of an angled spoke paddling wheel with self-rotating mechanism
title Empirical optimization of an angled spoke paddling wheel with self-rotating mechanism
title_full Empirical optimization of an angled spoke paddling wheel with self-rotating mechanism
title_fullStr Empirical optimization of an angled spoke paddling wheel with self-rotating mechanism
title_full_unstemmed Empirical optimization of an angled spoke paddling wheel with self-rotating mechanism
title_short Empirical optimization of an angled spoke paddling wheel with self-rotating mechanism
title_sort empirical optimization of an angled spoke paddling wheel with self-rotating mechanism
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705443/
https://www.ncbi.nlm.nih.gov/pubmed/36443383
http://dx.doi.org/10.1038/s41598-022-25181-7
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