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Microsystem Technologies

, Volume 23, Issue 6, pp 2233–2247 | Cite as

Modal and fatigue analysis of critical components of an amphibious spherical robot

  • Shuxiang Guo
  • Yanlin He
  • Liwei ShiEmail author
  • Shaowu Pan
  • Kun Tang
  • Rui Xiao
  • Ping Guo
Technical Paper

Abstract

With continuous improvements being made in science, technology, and production automation, robotics is becoming increasingly popular in the field of automation. Robotics has the potential to improve work efficiency, reduce production cost, protect humans from adverse conditions, and increase production scale. A three-dimensional (3D) printed amphibious spherical robot was designed to operate in various environments with a wide-range of complex conditions over a long period of time. The compact, fully waterproof design has the advantages of a reduced manufacturing time, high efficiency, good mobility, low noise, and reliable stability. This study considers how some of the more critical components of the robot, such as its leg brackets, circular middle plate, and spherical shell, respond to large dynamic stresses, shocks, and vibrations during operation; this can lead to reduced precision of the robot’s locomotion and may cause critical components to become damaged or fail. To design the robot with a more rigid structure and improved dynamic characteristics, 3D models of the critical components were constructed with SolidWorks. Using ANSYS WORKBENCH software, these models were incorporated into the robot design to determine the natural frequencies and the associated mode shapes of the first six orders. The procedure and analysis results are described in this paper. The fatigue life of these critical components was examined using the cyclic load spectrum and cyclic stress as a function of number of cycles to failure (SN curve) of acrylonitrile butadiene styrene plastic, the construction material for the robot. Finite element analysis was used for design optimization relevant to fatigue life, damage, safety, and fatigue sensitivity, and the weak areas in the components were identified. The approach described herein provides a theoretical basis for robotics design optimization.

Keywords

Fatigue Fatigue Life Mode Shape Spherical Shell Fatigue Damage 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This work was supported by National Natural Science Foundation of China (61503028), Excellent Young Scholars Research Fund of Beijing Institute of Technology (2014YG1611), and the Basic Research Fund of the Beijing Institute of Technology (20151642002). This research project was also partly supported by National Natural Science Foundation of China (61375094), and National High Tech. Research and Development Program of China (No. 2015AA043202).

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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Shuxiang Guo
    • 1
    • 2
    • 3
  • Yanlin He
    • 1
    • 2
  • Liwei Shi
    • 1
    • 2
    Email author
  • Shaowu Pan
    • 1
    • 2
  • Kun Tang
    • 1
    • 2
  • Rui Xiao
    • 1
    • 2
  • Ping Guo
    • 1
    • 2
  1. 1.The Institute of Advanced Biomedical Engineering System, School of Life ScienceBeijing Institute of TechnologyBeijingChina
  2. 2.Key Laboratory of Convergence Medical Engineering System and Healthcare Technology, the Ministry of Industry and Information TechnologyBeijing Institute of TechnologyBeijingChina
  3. 3.Faculty of EngineeringKagawa UniversityTakamatsuJapan

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