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相交过渡的识别与抑制算法 被引量：7

An Efficient Algorithm for Recognizing and Suppressing Feature-Intersected Blends
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摘要 通过分析相交过渡识别与抑制的难点,提出一种简单高效的相交过渡识别与抑制算法.该算法基于过渡抑制前后尖边的去留状态预测模型的拓扑变化,实现相交过渡的识别与抑制:对过渡面的尖边进行分类,将其分为删除边、保留边和分割保留边3类;基于分类结果,将含有保留边的过渡识别为相交过渡;根据相交过渡中尖边所对应的过渡抑制后的拓扑变化重构过渡周围面边界,实现相交过渡抑制.实验结果表明,文中算法能快速、有效地简化相交过渡,具有较高的效率和较强的鲁棒性. A simple and efficient algorithm for recognizing and suppressing feature-intersected blends is proposed.This is mainly achieved by analyzing the existing status of sharp edges before and after blend removal,from which the model topology can be anticipated.Sharp edges on a blend are classified into deleted edges,reserved edges and split edges.Blends with reserved edges are recognized as the feature-intersected.Furthermore,the sharp edge classification also indicates the model＇s topology change,and the final simplification model can then be reconstructed by modifying the boundaries of the faces adjacent to the blends.Experimental results on practical engineering models are also shown to demonstrate the algorithm＇s robustness and efficiency.
作者 孙锐 李明 高曙明
机构地区 浙江大学CAD&CG国家重点实验室
出处 《计算机辅助设计与图形学学报》 EI CSCD 北大核心 2010年第10期1639-1646,共8页 Journal of Computer-Aided Design & Computer Graphics
基金 国家"八六三"高技术研究发展计划(2008AA04Z115) 中央高校基本科研业务费专项资金(1A5000-172210119)
关键词 相交过渡 过渡识别 过渡抑制 特征简化 feature-intersected blends blend recognition blend suppression feature simplification
分类号 TP391.7 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献10

  • 1崔秀芬,高曙明,周广平.一种高效的过渡特征识别与抑制算法[J].计算机集成制造系统-CIMS,2004,10(1):77-82. 被引量：23
  • 2Sakurai H, Gossard D C. Recognizing shape features in solid models [J]. IEEE Computer Graphics and Applications, 1990, 10(5): 22-32.
  • 3Dong X, Wozny M. A method for generating volumetric features from surface features [C]//Proceedings of ACM Symposium on Solid Modeling and Applications. New York: ACM Press, 1991:185-194.
  • 4Sandiford D, Hinduja S. Construction of feature volumes using intersection of adjacent surfaces [J]. Computer-Aided Design, 2001, 33(6): 455-473.
  • 5Venkataraman S, Sohoni M. Blend recognition algorithm and applications [C] //Proceedings of the 6th ACM Symposium on Solid Modeling and Applications. New York: ACM Press, 2001:99-108.
  • 6Venkataraman S, Sohoni M, Rajadhyaksha R. Removal of blends from boundary representation models [C]// Proceedings of the 7th ACM Symposium on Solid Modeling and Applications. New York, ACM Press, 2002:83-94.
  • 7Zhu H, Menq C H. B-rep model simplification by automatic fillet/round suppressing for efficient automatic feature recognition [J]. Computer Aided Design, 2002, 34(2): 109- 123.
  • 8Joshi N, Dutta D. Feature simplification techniques for freeform surface models [J]. Journal of Computing and Information Science in Engineering, 2003, 3(3): 177-186.
  • 9Lee K Y, Armstrong C G, Price M A, etal. A small feature suppression/unsuppression system for preparing B-rep models for analysis [C]//Proceedings of the 9th ACM Symposium on Solid and Physical Modeling. New York: ACM Press, 2005: 113-124.
  • 10Venkataraman S, Sohoni M. Reconstruction of featuve volumes and feature suppression[C]//Proceedings of the 7th ACM Symposium on Solid Modeling and Applications. New York: ACM Press, 2002:60-71.

二级参考文献5

  • 1[1]VIDA J, MARTIN R R,VARADY T. A survey of blending methods using parametric surfaces[J].Computer-Aided Design, 1994,26(5):341-364.
  • 2[3]GAO S, SHAH J J. Automatic recognition of interacting machining features based on minimal condition subgraph[J]. Computer-Aided Design, 1998, 30(9):727-739.
  • 3[4]VENKATARAMAN S, SOHONI M. Blend recognition algorithm and applications[A]. Proceeding of Solid modeling[C]. 2001.99-108.
  • 4[5]VENKATARAMAN S, SOHONI M, RAJADHYAKSHA R. Removal of blends from boundary representation models[A]. Proceeding of Solidmodeling[C].Saarbrücken Germany:ACM Press,2002.83-94.
  • 5[6]LIM T,CORNEY J R,CLARK D E R.A laminae approach to constructing geometric feature volumes[A].Proceeding of Solid Modeling[C].Ann Arbor,Michigan,USA:ACM Press,2001.183-192.

共引文献22

同被引文献126

  • 1陈正鸣,曹永生.模具中的规则窄深特征自动识别[J].计算机集成制造系统,2005,11(12):1698-1704. 被引量：3
  • 2吴宜灿,李莹,卢磊,丁爱平,胡海敏,曾勤,罗月童,郑善良,黄群英,陈义学.Research and development of the automatic modeling system for Monte Carlo particle transport simulation[J].核科学与工程,2006,26(1):20-27. 被引量：58
  • 3陈立岗,郑耀,陈建军.全四边形有限元网格的拓扑优化策略[J].计算机辅助设计与图形学学报,2007,19(1):78-83. 被引量：12
  • 4刘晓平,金灿,李书杰.有限元仿真分析软件中建模的多态机理研究[J].系统仿真学报,2007,19(3):538-542. 被引量：14
  • 5SAKURAI H, GOSSARD D C. Recognizing shape features in solid models[J]. IEEE Computer Graphics and Applications, 1990,10(5) :22-32.
  • 6DONG X. A method for generating volumetric features from surface features[C]//Proceedings of ACM Symposium on Sol id Modeling and Applications. New York, N. Y., USA: ACM,1991:185 -194.
  • 7SANDIFORD D. Construction of feature volumes using inter section of adjacent surfaces[J]. Computer Aided Design,2001, 33(6) :455- 473.
  • 8VENKATARAMAN S, SOHONI M, ELBER G. Blend rec ognition algorithm and applications [C]//Proceedings of the 6th ACM Symposium on Solid Modeling and Applications. New York, N.Y. , USA:ACM,2001:99-108.
  • 9VENKATARAMAN S. Removal of blends from boundary re- presentation models[C]//Proceedings of the 7th ACM Sympo- sium on Solid Modeling and Applications. New York, N. Y. , USA : ACM, 2002 : 83-94.
  • 10ZHU H, MENQ C H. B-rep model simplification by automatic fillet/round suppressing for efficient automatic feature recogni- tion[J]. Computer Aided Design, 2002,34 (2) : 109-123.

引证文献7

二级引证文献35

计算机辅助设计与图形学学报
2010年 第10期

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