Novel loop tree for the similarity recognition of kinematic chains

IF 1 4区 工程技术 Q4 ENGINEERING, MECHANICAL Mechanical Sciences Pub Date : 2022-04-25 DOI:10.5194/ms-13-371-2022
Lei Wang, Liang Sun, Rongjiang Cui, Yadan Xu, Gaohong Yu, C. Wu
{"title":"Novel loop tree for the similarity recognition of kinematic chains","authors":"Lei Wang, Liang Sun, Rongjiang Cui, Yadan Xu, Gaohong Yu, C. Wu","doi":"10.5194/ms-13-371-2022","DOIUrl":null,"url":null,"abstract":"Abstract. The similarity recognition of kinematic chains (KCs) is\nhelpful for improving the efficiency of configuration synthesis, which has been paid more and more attention in recent years. The existing recognition methods are divided into the definition method and feature constant method. Among them, the definition method is difficult to adopt in practice because of its long operation time, especially when the number of similar vertices in KCs is large. In this paper, the new concepts of a loop tree (LT) and a loop tree matrix (LTM) have been proposed, which improve the efficiency of similarity recognition. This method is applied on the complete structure\nof the following: 8-link with 1 DOF (degree of freedom), 9-link with 2 DOF, 10-link with 1 DOF, 12-link with 1 DOF, 13-link with 2 DOF, 14-link with 3 DOF, 15-link with 4 DOF planar single-joint KCs, and contracted graphs with up to six independent loops. All results are verified by the definition method to prove the good applicability, reliability, and\nefficiency of the proposed method. Simultaneously, the application case of the similarity recognition in a mechanism creation is given to provide a reference for an innovative design.\n","PeriodicalId":18413,"journal":{"name":"Mechanical Sciences","volume":" ","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mechanical Sciences","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.5194/ms-13-371-2022","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract. The similarity recognition of kinematic chains (KCs) is helpful for improving the efficiency of configuration synthesis, which has been paid more and more attention in recent years. The existing recognition methods are divided into the definition method and feature constant method. Among them, the definition method is difficult to adopt in practice because of its long operation time, especially when the number of similar vertices in KCs is large. In this paper, the new concepts of a loop tree (LT) and a loop tree matrix (LTM) have been proposed, which improve the efficiency of similarity recognition. This method is applied on the complete structure of the following: 8-link with 1 DOF (degree of freedom), 9-link with 2 DOF, 10-link with 1 DOF, 12-link with 1 DOF, 13-link with 2 DOF, 14-link with 3 DOF, 15-link with 4 DOF planar single-joint KCs, and contracted graphs with up to six independent loops. All results are verified by the definition method to prove the good applicability, reliability, and efficiency of the proposed method. Simultaneously, the application case of the similarity recognition in a mechanism creation is given to provide a reference for an innovative design.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
一种新的运动链相似度识别环树
摘要运动链的相似度识别有助于提高构型综合效率,近年来受到越来越多的关注。现有的识别方法分为定义法和特征常数法。其中,定义方法由于操作时间长,特别是在KCs中相似顶点数量较多的情况下,在实践中难以采用。本文提出了循环树(LT)和循环树矩阵(LTM)的新概念,提高了相似性识别的效率。该方法适用于以下完整结构:8杆1自由度、9杆2自由度、10杆1自由度、12杆1自由度、13杆2自由度、14杆3自由度、15杆4自由度平面单关节KCs,以及多达6个独立回路的收缩图。用定义方法对所有结果进行了验证,证明了所提方法的适用性、可靠性和有效性。同时,给出了相似度识别在机构设计中的应用实例,为机构创新设计提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Mechanical Sciences
Mechanical Sciences ENGINEERING, MECHANICAL-
CiteScore
2.20
自引率
7.10%
发文量
74
审稿时长
29 weeks
期刊介绍: The journal Mechanical Sciences (MS) is an international forum for the dissemination of original contributions in the field of theoretical and applied mechanics. Its main ambition is to provide a platform for young researchers to build up a portfolio of high-quality peer-reviewed journal articles. To this end we employ an open-access publication model with moderate page charges, aiming for fast publication and great citation opportunities. A large board of reputable editors makes this possible. The journal will also publish special issues dealing with the current state of the art and future research directions in mechanical sciences. While in-depth research articles are preferred, review articles and short communications will also be considered. We intend and believe to provide a means of publication which complements established journals in the field.
期刊最新文献
Type synthesis of non-overconstrained and overconstrained two rotation and three translation (2R3T) parallel mechanisms with three branched chains Machining distortion control of long beam parts based on optimal design of transition structure Stochastic stability and the moment Lyapunov exponent for a gyro-pendulum system driven by a bounded noise Study on a grinding force model of a variable grinding contact area during knife-edge surface grinding Application of cell mapping to control optimization for an antenna servo system on a disturbed carrier
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1