Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)

Optimal Design Based on Finite Element Analysis for Elevating Platform

Authors
Xiaoqiang Wu, Ruican Hao
Corresponding Author
Xiaoqiang Wu
Available Online July 2017.
DOI
https://doi.org/10.2991/iccse-17.2017.14How to use a DOI?
Keywords
Hydraulic elevating platform, Finite element analysis, Three-dimensional model, Statics analysis
Abstract
Hydraulic elevating platform has the features of big load capacity, easy maintenance, stable and reliable operation. The kind of hydraulic elevating platform is many, and they can be used in a variety of different working conditions. The stable and load capacity of the elevating platform are the most important in the working process. In this paper, according to the requirements of the user, a variety of methods are used in hydraulic lift platform design. Analysis is conducted through the finite element analysis software to analyze the any kind of structure, and determine the optimal structure. First of all, the three-dimensional model is established according to the lift platform design requirements, then, the three-dimensional model of elevating platform are simplified as the many alternatives, at last, through the finite element analysis of various schemes of elevating platform to making statics analysis, the optimal structure design scheme is given.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
July 2017
ISBN
978-94-6252-404-0
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccse-17.2017.14How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiaoqiang Wu
AU  - Ruican Hao
PY  - 2017/07
DA  - 2017/07
TI  - Optimal Design Based on Finite Element Analysis for Elevating Platform
PB  - Atlantis Press
SP  - 76
EP  - 84
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-17.2017.14
DO  - https://doi.org/10.2991/iccse-17.2017.14
ID  - Wu2017/07
ER  -