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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Main Authors: Z. Du, M. Yang, W. Dong
Format: Article
Language:English
Published: Copernicus Publications 2016-05-01
Series:Mechanical Sciences
Online Access:https://www.mech-sci.net/7/127/2016/ms-7-127-2016.pdf
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spelling 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
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