• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2015, Vol. 51 ›› Issue (19): 1-10.doi: 10.3901/JME.2015.19.001

• 机构学及机器人 •    下一篇

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平面多杆机构杆组自动生成方法

韩建友, 袁玉芹, 吕翔宇, 张倩倩, 卢天齐   

  1. 北京科技大学机械工程学院 北京 100083
  • 出版日期:2015-10-05 发布日期:2015-10-05
  • 基金资助:
    国家自然科学基金资助项目(51275034)

Methodology for the Automatic Generation of Assur Groups from Planar Multi-bar Linkages

HAN Jianyou, YUAN Yuqin, LV Xiangyu, ZHANG Qianqian, LU Tianqi   

  1. School of Mechanical Engineering, Beijing University of Science and Technology
  • Online:2015-10-05 Published:2015-10-05

摘要: 阿苏尔杆组理论指出,通过对不同运动链选取不同的机架和原动件,能够得到各种可能的阿苏尔杆组与机构构型。基于这一理论提出一种阿苏尔杆组的自动生成方法。针对杆组的结构特点,提出简单易行的杆组同构判别方法,该判别方法也适用于平面多杆机构运动链的同构判别。联合应用运动链的邻接矩阵与关联矩阵,使得自动生成算法与计算机编程相结合,实现了平面多杆机构杆组的自动生成。该自动生成机构杆组的方法理论简单,编程可操作性强,能够实现多杆运动链在构成机构时杆组的准确快速的拆分。该方法将杆组的拆分过程与由杆组搭接形成机构的过程相联系,对拆分得到的所有杆组与机构构型进行同构判别,得到了六杆以内的13种杆组,以及由八杆运动链构成的153种机构。

关键词: 拆分杆组, 关联矩阵, 邻接矩阵, 同构判别

Abstract: The theory of Assur groups indicates that the potential Assur groups and linkage types can be obtained by selecting different ground links and driving links of unique kinematic chains. A methodology of automatically generating Assur groups is proposed based on this theory. Aiming at the structure characteristics of Assur groups, an effective and simple method of isomorphism identification of Assur groups is also proposed. This method is also applicable to the isomorphism identification of planar multi-bar kinematic chains. This methodology combines the automatic generation algorithm and computer programming to realize the automatic generation of Assur groups and linkages by using the adjacency matrices and the relevance matrices of the kinematic chains. This methodology makes splitting the Assur groups from planar multi-bar kinematic chains when forming linkages quick and accurate. The automation process has obtained all the 13 Assur groups from four-bar and six-bar and eight-bar kinematic chains and the 153 unique linkage types formed by eight-bar kinematic chains just by isomorphism identification.

Key words: adjacency matrices, isomorphism identification, relevance matrices, splitting Assur groups

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