• 论文 •    

一种多源特征阵列生成算法

彭  宇,雍俊海,严冬明,孙家广,   

  1. 1.清华大学 计算机科学与技术系,北京  100084;2.清华大学 软件学院,北京  100084
  • 收稿日期:2005-02-24 修回日期:2005-04-08 出版日期:2006-04-15 发布日期:2006-04-25
  • 基金资助:
    国家自然科学基金资助项目(60403047);国家973计划资助项目(2004CB719400);高等学校全国优秀博士学位论文作者专项资金资助项目(200342);留学回国人员科研启动基金资助项目(041501004)。

Pattern algorithm for generating B-rep solid bodies based on multiple seed features

PENG Yu,YONG Jun-hai,YAN Dong-ming,SUN Jia-guang   

  1. 1.Dep. of Computer S & T, Tsinghua Univ., Beijing  100084, China;>2.Sch. of Software, Tsinghua Univ., Beijing  100084, China
  • Received:2005-02-24 Revised:2005-04-08 Online:2006-04-15 Published:2006-04-25
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.60403047),the National Key Basic R&D Program,China(No.2004CB719400),the Author of National Excellent Doctoral Dissertation Foundation,China(No.200342),and the Scientific Research Foundation for the Returned Overseas Chinese Scholars of State Education Ministry,China(No.041501004).

摘要: 为解决特定特征定义下的多源特征阵列问题,提出一种基于碰撞检测的多源特征阵列生成算法。利用实例和单一实体的碰撞测试,得到连接实例和脱节实例,然后进行连接实例与单一实体的集合运算生成新体,再通过脱节实例与连接实例碰撞测试得到新的连接实例,从而生成正确的结果实体。该算法已在商业几何造型系统TiGems6.0中实现,简化了多源特征阵列的操作方式,克服了某些凸台实例被错误舍去的问题。最后,给出了实验结果。

关键词: 几何造型, 特征造型, 阵列, 集合运算

Abstract: The pattern problem based on multiple seed features cannot be solved correctly by using specific feature definitions. Thus, a collision detection based pattern algorithm for generating B-rep solid bodies was proposed. The joint and disjoint feature instances were obtained by a collision detection between the instance and the single solid body. Then, the new single solid was generated by using the set operation between the joint instance and the single solid. The new joint instances from the disjoint instances were picked out by the collision detection between the disjoint instance and the joint instance. The algorithm has been implemented in a commercial geometric modeling software system TiGems6.0. It could be applied to solving the problems with some boss instances being rejected incorrectly. Experimental results were given to illustrate the validity of the algorithm.

Key words: geometric modeling, feature modeling, pattern, set operation

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