Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications

Parametric Design and Optimization Analysis of Autoclave Based on UG and Workbench

Authors
Xuedong Liu, Mingxing Du, Fan Qi
Corresponding Author
Xuedong Liu
Available Online January 2016.
DOI
10.2991/icaita-16.2016.85How to use a DOI?
Keywords
autoclave; parameterization; ANSYS Workbench; optimization
Abstract

The paper introduces the parametric design and assembly of autoclave with a nominal diameter of 4000 mm, which UG software is used in. Through establishment of a three-dimensional model of autoclave by UG software and the static analysis of the autoclave on the ANSYS Workbench platform, the stress distribution was obtained. While the wall thickness was optimized by iterate. Finally, the dangerous section of the model which wall thickness was optimized was linearized. The results show that the parametric modeling method improves the design, modeling and analysis of autoclave. Also, it reduces the wall thickness of autoclave.

Copyright
© 2016, 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 2016 International Conference on Artificial Intelligence: Technologies and Applications
Series
Advances in Intelligent Systems Research
Publication Date
January 2016
ISBN
978-94-6252-162-9
ISSN
1951-6851
DOI
10.2991/icaita-16.2016.85How to use a DOI?
Copyright
© 2016, 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  - Xuedong Liu
AU  - Mingxing Du
AU  - Fan Qi
PY  - 2016/01
DA  - 2016/01
TI  - Parametric Design and Optimization Analysis of Autoclave Based on UG and Workbench
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications
PB  - Atlantis Press
SP  - 345
EP  - 348
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaita-16.2016.85
DO  - 10.2991/icaita-16.2016.85
ID  - Liu2016/01
ER  -