Open AccessStatic and modal analysis of industrial robots
Author(s) -
Hong-Wei Sun,
Chao Liu,
Benshun Zhang,
Yiming Chen,
Sibo Zhao,
Chengdong Li
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2174/1/012086
Subject(s) - robot , modal analysis , industrial robot , automation , workload , vibration , engineering , modal , finite element method , stiffness , mechanical engineering , computer science , structural engineering , artificial intelligence , materials science , acoustics , physics , polymer chemistry , operating system
As an important automation equipment in contemporary manufacturing industry, 5-axis industrial robot is an important part of automated production. It improves the quality of work and production efficiency, reduces the workload of workers and lowers production costs. The development of industrial robots has a profound impact on China’s goal of being among the world’s manufacturing powerhouses in the first half of the 21st century. This paper presents a finite element analysis of the overall system of a five-axis intelligent robot for industrial use. The main focus is on optimizing the mechanical structure of the five-axis intelligent robot for industrial use, and the external structure of the key support components of the robot is simplified to create the model. Hazardous stress states were selected for the system analysis, a static analysis was implemented for each component to obtain the displacement and stresses corresponding to them, the maximum deformation of the key parts of the robot was obtained, and finally its stiffness was evaluated. Then the modal analysis is performed on this robot model, and the modal vibration clouds of the first 6 orders are selected to study the vibration patterns to obtain the corresponding frequencies, which provides data support for the robot to avoid working at resonant frequencies and provides a theoretical basis for improving its overall structure.