Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

Reliability Optimal Design of Cylindrical Torsion Spring with MIGA Algorithm

Authors
Hongchao Wu, Yueqiang Zhang, Yingsheng Huang, Mingsheng Zhang
Corresponding Author
Hongchao Wu
Available Online March 2016.
DOI
10.2991/icmmct-16.2016.107How to use a DOI?
Keywords
MIGA, Cylindrical helical torsion spring, Reliability-based design, Optimal design.
Abstract

Based on the design features of cylindrical torsion spring, this paper established a multi-objective optimization mathematical model for solving the problem of nonlinear constraint, and used MIGA algorithm to optimize the design with the conditions of strength reliability. Compared to the initial design, the optimization results showed weight had reduced 62.8% and stiffness had increased 43.6%, which verified MIGA algorithms and multi-objective optimization model was correct and useful in dealing with the problem of structural design and optimization of reliability.

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 4th International Conference on Machinery, Materials and Computing Technology
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
10.2991/icmmct-16.2016.107
ISSN
2352-5401
DOI
10.2991/icmmct-16.2016.107How 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  - Hongchao Wu
AU  - Yueqiang Zhang
AU  - Yingsheng Huang
AU  - Mingsheng Zhang
PY  - 2016/03
DA  - 2016/03
TI  - Reliability Optimal Design of Cylindrical Torsion Spring with MIGA Algorithm
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 533
EP  - 537
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.107
DO  - 10.2991/icmmct-16.2016.107
ID  - Wu2016/03
ER  -