Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)

Research on Dynamics and Finite Element Simulation Analysis of Variable-lead Spiral Pair Substructure

Authors
Fei He, Xie Xu, Ke Yang
Corresponding Author
Fei He
Available Online August 2018.
DOI
10.2991/caai-18.2018.48How to use a DOI?
Keywords
variable-lead spiral pair; motion characteristics; contact stress; modal analysis
Abstract

The variable-lead spiral pair mechanism is applied to the subway gate, which can improve the stability of the mechanical structure operation. This paper analyzes the variable lead spiral substructure. By the dynamics software, the motion characteristics of the lead spiral substructure is analyzed, and the finite element software is used to analyze the structural stress, contact stress and modal analysis. Through analysis, the rationality of the design of the variable lead spiral substructure is verified. The application of the variable lead spiral pair to the subway door system is very feasible.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
August 2018
ISBN
978-94-6252-595-5
ISSN
2589-4919
DOI
10.2991/caai-18.2018.48How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Fei He
AU  - Xie Xu
AU  - Ke Yang
PY  - 2018/08
DA  - 2018/08
TI  - Research on Dynamics and Finite Element Simulation Analysis of Variable-lead Spiral Pair Substructure
BT  - Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)
PB  - Atlantis Press
SP  - 200
EP  - 203
SN  - 2589-4919
UR  - https://doi.org/10.2991/caai-18.2018.48
DO  - 10.2991/caai-18.2018.48
ID  - He2018/08
ER  -