• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2017, Vol. 53 ›› Issue (9): 116-126.doi: 10.3901/JME.2017.09.116

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机械装配体模型的对称性识别*

华顺刚, 李现党, 白茂东   

  1. 大连理工大学机械工程学院 大连 116024
  • 出版日期:2017-05-05 发布日期:2017-05-05
  • 作者简介:

    华顺刚,男,1964年出生,博士,教授,博士研究生导师。主要研究方向为CAD与图形学、图形图像处理。

    E-mail:hsgang02@dlut.edu.cn

    白茂东(通信作者),男,1989年出生,博士研究生。主要研究方向为CAD与图形学。

    E-mail:baimaodong@mail.dlut.edu.cn

  • 基金资助:
    * 国家自然科学基金资助项目(61572101); 20160530收到初稿,20170212收到修改稿;

Detecting Symmetries in Mechanical Assembly Model

HUA Shungang, LI Xiandang, BAI Maodong   

  1. School of Mechanical Engineering, Dalian University of Technology, Dalian 116024
  • Online:2017-05-05 Published:2017-05-05

摘要:

为满足产品创新设计和工程分析中对模型对称性信息的需求,针对现有的机械装配体模型对称识别研究不足的问题,提出了一种识别机械装配体模型中的零件自对称、零件间对称和装配体全局对称的方法。通过遍历特征设计树识别装配体所包含的零件,根据零件复制关系及面属性划分零件集,并按照零件数量排序,使对称合并结果快速向装配体全局对称靠拢。利用模型的特征信息,识别零件自对称,获取其旋转对称轴和反射对称面。根据零件质心和包围盒数据识别零件间的旋转、反射和平移对称,在零件集内部和零件集之间依次合并对称,最终判别装配体是否全局对称。实验表明,该方法能够准确地识别零件自对称、零件间对称和装配体全局对称。

关键词: 合并对称, 划分零件集, 零件间对称, 零件自对称, 全局对称, 装配体模型

Abstract:

:The symmetry information of model is necessary for product innovation design and engineering analysis. However, the existing symmetry detection research for mechanical assembly model is not enough. Therefore, an approach to detecting intra-part symmetry, inter-part symmetry and global symmetry in mechanical assembly model is proposed. Firstly, the feature-manager design tree is traversed to get all parts, which are classified into part sets according to duplicate relations and part surface attributes, for an assembly model. Then the part sets are sorted on the basis of their part numbers to improve symmetry combining efficiency. Next, the feature information within the model is made use of to detect intra-part symmetry and acquire rotational axis and reflectional plane of symmetry. Then the rotation, reflection and translation symmetry among parts can be detected according to centroid and bounding box of the parts. Finally, the global symmetry of an assembly model could be derived after symmetry merging inside and among the part sets. Experimental results show that our method is capable of detecting the intra-part symmetry, the inter-part symmetry and the global symmetry of assembly model accurately.

Key words: global symmetry, inter-part symmetry, intra-part symmetry, part sets classification, symmetry merging, assembly model