A Finite Element Method for Analyzing the Dynamic Behavior of Thin-Walled Tubular Robotic Arms Based on Carrera Unified Formulation

Based on Carrera Unified Formulation (CUF) and refined one-dimensional(1D) higher-order beam theory, a method is proposed to analyze the dynamics of thin-walled tubular robotic arms in this paper. The accuracy and reliability of the present model are demonstrated by comparing with other beam models. The proposed refined beam model is able to accurately characterize the three-dimensional dynamics of pipe structures. First nine orders of natural frequency error within 1.37%, which improved modeling accuracy and computational efficiency. The proposed model has a wider scope of application, it can be applied to pipe structures with a length-to-diameter ratio of 4 or more.

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Published
2024-09-20
DOI
https://doi.org/10.1109/isrimt63979.2024.10875249
Primary Topic
Robotic Mechanisms and Dynamics
Type
article
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article

A Finite Element Method for Analyzing the Dynamic Behavior of Thin-Walled Tubular Robotic Arms Based on Carrera Unified Formulation

Lei Zhang, Zhi Liu
2 links
Robotic Mechanisms and Dynamics
article

A Finite Element Method for Analyzing the Dynamic Behavior of Thin-Walled Tubular Robotic Arms Based on Carrera Unified Formulation

Lei Zhang, Zhi Liu
article en

Abstract

Based on Carrera Unified Formulation (CUF) and refined one-dimensional(1D) higher-order beam theory, a method is proposed to analyze the dynamics of thin-walled tubular robotic arms in this paper. The accuracy and reliability of the present model are demonstrated by comparing with other beam models. The proposed refined beam model is able to accurately characterize the three-dimensional dynamics of pipe structures. First nine orders of natural frequency error within 1.37%, which improved modeling accuracy and computational efficiency. The proposed model has a wider scope of application, it can be applied to pipe structures with a length-to-diameter ratio of 4 or more.

Hohai University (CN)
Openalex Percentile: Top 66%
Robotic Mechanisms and Dynamics
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