A representation of the configurations and evolution of metamorphic mechanisms

Metamorphic mechanisms are members of the class of mechanisms that are able to change their configurations sequentially to meet different requirements. The paper introduces a comprehensive symbolic matrix representation for characterizing the topology of one of these mechanisms in a single confi...

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Main Authors: W. Zhang, X. Ding, J. Liu
Format: Article
Language:English
Published: Copernicus Publications 2016-02-01
Series:Mechanical Sciences
Online Access:https://www.mech-sci.net/7/39/2016/ms-7-39-2016.pdf
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spelling doaj-e0e19d3a7a97475f8c41f0991810f0a52020-11-24T20:58:24ZengCopernicus PublicationsMechanical Sciences2191-91512191-916X2016-02-017394710.5194/ms-7-39-2016A representation of the configurations and evolution of metamorphic mechanismsW. Zhang0W. Zhang1X. Ding2J. Liu3School of Mechanical Engineering and Automation, Beihang University, Beijing, ChinaState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, ChinaSchool of Mechanical Engineering and Automation, Beihang University, Beijing, ChinaState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, ChinaMetamorphic mechanisms are members of the class of mechanisms that are able to change their configurations sequentially to meet different requirements. The paper introduces a comprehensive symbolic matrix representation for characterizing the topology of one of these mechanisms in a single configuration using general information concerning links and joints. Furthermore, a matrix representation of an original metamorphic mechanism that has the ability to evolve is proposed by uniting the matrices representing all of the mechanism's possible configurations. The representation of metamorphic kinematic joints is developed in accordance with the variation laws of these mechanisms. By introducing the joint variation matrices derived from generalized operations on the related symbolic adjacency matrices, evolutionary relationships between mechanisms in adjacent configurations and the original metmaorphic mechanism are made distinctly. Examples are provided to demonstrate the validation of the method.https://www.mech-sci.net/7/39/2016/ms-7-39-2016.pdf
collection DOAJ
language English
format Article
sources DOAJ
author W. Zhang
W. Zhang
X. Ding
J. Liu
spellingShingle W. Zhang
W. Zhang
X. Ding
J. Liu
A representation of the configurations and evolution of metamorphic mechanisms
Mechanical Sciences
author_facet W. Zhang
W. Zhang
X. Ding
J. Liu
author_sort W. Zhang
title A representation of the configurations and evolution of metamorphic mechanisms
title_short A representation of the configurations and evolution of metamorphic mechanisms
title_full A representation of the configurations and evolution of metamorphic mechanisms
title_fullStr A representation of the configurations and evolution of metamorphic mechanisms
title_full_unstemmed A representation of the configurations and evolution of metamorphic mechanisms
title_sort representation of the configurations and evolution of metamorphic mechanisms
publisher Copernicus Publications
series Mechanical Sciences
issn 2191-9151
2191-916X
publishDate 2016-02-01
description Metamorphic mechanisms are members of the class of mechanisms that are able to change their configurations sequentially to meet different requirements. The paper introduces a comprehensive symbolic matrix representation for characterizing the topology of one of these mechanisms in a single configuration using general information concerning links and joints. Furthermore, a matrix representation of an original metamorphic mechanism that has the ability to evolve is proposed by uniting the matrices representing all of the mechanism's possible configurations. The representation of metamorphic kinematic joints is developed in accordance with the variation laws of these mechanisms. By introducing the joint variation matrices derived from generalized operations on the related symbolic adjacency matrices, evolutionary relationships between mechanisms in adjacent configurations and the original metmaorphic mechanism are made distinctly. Examples are provided to demonstrate the validation of the method.
url https://www.mech-sci.net/7/39/2016/ms-7-39-2016.pdf
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