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Finite Element Modeling of Dynamic Properties of the Delta Robot with Base Frame

The paper presents the finite element modeling of the dynamic properties of a delta robot attached to a steel frame. A distinguishing feature of the proposed modeling method is the application of the Guyan reduction method in modeling of frame foundations. The frame in question was analyzed in two v...

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Detalles Bibliográficos
Autores principales: Grabiec, Jakub, Pajor, Mirosław, Dunaj, Paweł
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571944/
https://www.ncbi.nlm.nih.gov/pubmed/36234134
http://dx.doi.org/10.3390/ma15196797
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author Grabiec, Jakub
Pajor, Mirosław
Dunaj, Paweł
author_facet Grabiec, Jakub
Pajor, Mirosław
Dunaj, Paweł
author_sort Grabiec, Jakub
collection PubMed
description The paper presents the finite element modeling of the dynamic properties of a delta robot attached to a steel frame. A distinguishing feature of the proposed modeling method is the application of the Guyan reduction method in modeling of frame foundations. The frame in question was analyzed in two variants: (i) without attached robot and (ii) with attached robot. Based on the established model, the dynamic properties (i.e., natural frequencies, mode shapes, and frequency response functions) of the frame in the two variants were analyzed. The obtained results were then experimentally verified and validated. It was found that the developed model showed an average relative error for natural frequencies of 4.3% in the case of the frame and 5.6% in the case of the frame with the robot. The paper demonstrated the validity of the proposed model, allowing accurate and fast determination of robotic system dynamic properties.
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spelling pubmed-95719442022-10-17 Finite Element Modeling of Dynamic Properties of the Delta Robot with Base Frame Grabiec, Jakub Pajor, Mirosław Dunaj, Paweł Materials (Basel) Article The paper presents the finite element modeling of the dynamic properties of a delta robot attached to a steel frame. A distinguishing feature of the proposed modeling method is the application of the Guyan reduction method in modeling of frame foundations. The frame in question was analyzed in two variants: (i) without attached robot and (ii) with attached robot. Based on the established model, the dynamic properties (i.e., natural frequencies, mode shapes, and frequency response functions) of the frame in the two variants were analyzed. The obtained results were then experimentally verified and validated. It was found that the developed model showed an average relative error for natural frequencies of 4.3% in the case of the frame and 5.6% in the case of the frame with the robot. The paper demonstrated the validity of the proposed model, allowing accurate and fast determination of robotic system dynamic properties. MDPI 2022-09-30 /pmc/articles/PMC9571944/ /pubmed/36234134 http://dx.doi.org/10.3390/ma15196797 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Grabiec, Jakub
Pajor, Mirosław
Dunaj, Paweł
Finite Element Modeling of Dynamic Properties of the Delta Robot with Base Frame
title Finite Element Modeling of Dynamic Properties of the Delta Robot with Base Frame
title_full Finite Element Modeling of Dynamic Properties of the Delta Robot with Base Frame
title_fullStr Finite Element Modeling of Dynamic Properties of the Delta Robot with Base Frame
title_full_unstemmed Finite Element Modeling of Dynamic Properties of the Delta Robot with Base Frame
title_short Finite Element Modeling of Dynamic Properties of the Delta Robot with Base Frame
title_sort finite element modeling of dynamic properties of the delta robot with base frame
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571944/
https://www.ncbi.nlm.nih.gov/pubmed/36234134
http://dx.doi.org/10.3390/ma15196797
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