Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)

The Main Mechanical Structure of Large Vacuum Vessel Stress analysis and optimization

Authors
Liang Yi, Yang Luo, Jian Chen, Yu Chu, Shaoxiang Wu
Corresponding Author
Liang Yi
Available Online July 2016.
DOI
10.2991/iccia-17.2017.148How to use a DOI?
Keywords
vacuum vessel; finite element; structural design; ANSYS Workbench.
Abstract

The vacuum vessel has been used extensively in aerospace and other equipments. This thesis shows the model simplification for the well-designed vacuum vessel room through solidworks, and also finite element analysis of simplified model is given by applying ANSYS Workbench. After the press and transformation situation is achieved, optimization of the structure is conducted. The results show that, after the optimization of the Stiffening ring, the stress and deformation of the vessel can be reduced and the partial structure of vacuum vessel is also optimized effectively.

Copyright
© 2017, 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/).

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Volume Title
Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
Series
Advances in Computer Science Research
Publication Date
July 2016
ISBN
10.2991/iccia-17.2017.148
ISSN
2352-538X
DOI
10.2991/iccia-17.2017.148How to use a DOI?
Copyright
© 2017, 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  - Liang Yi
AU  - Yang Luo
AU  - Jian Chen
AU  - Yu Chu
AU  - Shaoxiang Wu
PY  - 2016/07
DA  - 2016/07
TI  - The Main Mechanical Structure of Large Vacuum Vessel Stress analysis and optimization
BT  - Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 840
EP  - 844
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.148
DO  - 10.2991/iccia-17.2017.148
ID  - Yi2016/07
ER  -