Multi-objective optimization of a type of ellipse-parabola shaped superelastic flexure hinge
Flexure hinges made of superelastic materials is a promising candidate to enhance the movability of compliant mechanisms. In this paper, we focus on the multi-objective optimization of a type of ellipse-parabola shaped superelastic flexure hinge. The objective is to determine a set of optimal ge...
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doaj-0f21897374f04fb389be6df52bab610e2020-11-24T21:35:53ZengCopernicus PublicationsMechanical Sciences2191-91512191-916X2016-05-01712713410.5194/ms-7-127-2016Multi-objective optimization of a type of ellipse-parabola shaped superelastic flexure hingeZ. Du0M. Yang1W. Dong2State Key Laboratory of Robotics and System, Harbin Institute of Technology, 2 Yikuang Street, Harbin, 150080, ChinaState Key Laboratory of Robotics and System, Harbin Institute of Technology, 2 Yikuang Street, Harbin, 150080, ChinaState Key Laboratory of Robotics and System, Harbin Institute of Technology, 2 Yikuang Street, Harbin, 150080, ChinaFlexure hinges made of superelastic materials is a promising candidate to enhance the movability of compliant mechanisms. In this paper, we focus on the multi-objective optimization of a type of ellipse-parabola shaped superelastic flexure hinge. The objective is to determine a set of optimal geometric parameters that maximizes the motion range and the relative compliance of the flexure hinge and minimizes the relative rotation error during the deformation as well. Firstly, the paper presents a new type of ellipse-parabola shaped flexure hinge which is constructed by an ellipse arc and a parabola curve. Then, the static responses of superelastic flexure hinges are solved via non-prismatic beam elements derived by the co-rotational approach. Finite element analysis (FEA) and experiment tests are performed to verify the modeling method. Finally, a multi-objective optimization is performed and the Pareto frontier is found via the NSGA-II algorithm.https://www.mech-sci.net/7/127/2016/ms-7-127-2016.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Z. Du M. Yang W. Dong |
spellingShingle |
Z. Du M. Yang W. Dong Multi-objective optimization of a type of ellipse-parabola shaped superelastic flexure hinge Mechanical Sciences |
author_facet |
Z. Du M. Yang W. Dong |
author_sort |
Z. Du |
title |
Multi-objective optimization of a type of ellipse-parabola shaped superelastic flexure hinge |
title_short |
Multi-objective optimization of a type of ellipse-parabola shaped superelastic flexure hinge |
title_full |
Multi-objective optimization of a type of ellipse-parabola shaped superelastic flexure hinge |
title_fullStr |
Multi-objective optimization of a type of ellipse-parabola shaped superelastic flexure hinge |
title_full_unstemmed |
Multi-objective optimization of a type of ellipse-parabola shaped superelastic flexure hinge |
title_sort |
multi-objective optimization of a type of ellipse-parabola shaped superelastic flexure hinge |
publisher |
Copernicus Publications |
series |
Mechanical Sciences |
issn |
2191-9151 2191-916X |
publishDate |
2016-05-01 |
description |
Flexure hinges made of superelastic materials is a promising candidate to
enhance the movability of compliant mechanisms. In this paper, we focus on
the multi-objective optimization of a type of ellipse-parabola shaped
superelastic flexure hinge. The objective is to determine a set of optimal
geometric parameters that maximizes the motion range and the relative
compliance of the flexure hinge and minimizes the relative rotation error
during the deformation as well. Firstly, the paper presents a new type of
ellipse-parabola shaped flexure hinge which is constructed by an ellipse arc
and a parabola curve. Then, the static responses of superelastic flexure
hinges are solved via non-prismatic beam elements derived by the
co-rotational approach. Finite element analysis (FEA) and experiment tests
are performed to verify the modeling method. Finally, a multi-objective
optimization is performed and the Pareto frontier is found via the NSGA-II
algorithm. |
url |
https://www.mech-sci.net/7/127/2016/ms-7-127-2016.pdf |
work_keys_str_mv |
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