计算机科学 ›› 2013, Vol. 40 ›› Issue (4): 275-281.

• 图形图像与模式识别 • 上一篇    下一篇

基于语义的三维CAD模型可重用区域自动提取

白静   

  1. 北方民族大学计算机科学与工程学院银川750021
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国家自然科学基金(61163016),宁夏自然科学基金(NZ1114),北方民族大学校内科研项目(2010Y033),北方民族大学自主科研基金项目(2011ZQY021)资助

Semantic-based Automatic Extraction of Reusable Regions in 3D CAD Models

BAI Jing   

  • Online:2018-11-16 Published:2018-11-16

摘要: 针对产品设计中的局部检索重用需求,提出一种基于语义分析的可重用区域自动提取方法。通过采用扩展特征树表征三维CAD模型,准确刻画设计模型中不同粒度、不同形式的特征及特征间的关联关系,有效捕捉模型中包含的设计语义;通过分析局部区域的设计重用性,提出局部区域可重用性度量函数,并以扩展特征树的表征结构为输入,依据局部区域的可重用性自动提取候选可重用区域;通过进一步评价候选可重用区域的重用率确定最终可重用区域,以确保可重用区域的有效性及合理性。实验结果表明,依据本方法提取获得的可重用区域符合设计重用语义,能有效支持产品设计阶段的局部检索重用。

关键词: 三维CAD模型,设计重用,可重用区域,扩展特征树,局部检索

Abstract: Aiming at the partial retrieval and reuse,a semantic-based automatic extraction approach of reusable regions was proposed.Giving an engineering part,the defined design feature model can accurately describe both its features with different scales and forms and the relationships between these features by using extended feature tree,so as to effectively capture the design semantics of the model.Furthermore,based on the analysis of reusable regions for design of 3D CAD models,a reusability metric function of a given local region was defined and an algorithm that automatically extracts its candidate reusable regions for inputted extended feature tree was put forward.Finally,for each extracted candidate reusable regions,its reuse rate in given library was calculated and those candidate reusable regions which have high reuse rates were identified as final reusable regions.The proposed approach was implemented and tested.Preliminary results show that the reusable regions which are extracted using this method meet the design reuse requirements,so as to effectively support partial retrieval for design reuse.

Key words: 3D CAD model,Design reuse,Reusable region,Extended feature tree,Partial retrieval

[1] Gunn T G.The mechanization of design and manufacturing[J].Scientific American,1982,247(3):114-130
[2] Funkhouser T,Kazhdan M,Shilane P,et al.Modeling by example[C]∥ACM SIGGRAPH 2004.ACM:Los Angeles,California,2004
[3] Bespalov D,Regli W C,Shokoufandeh A.Local feature extraction and matching partial objects[J].Computer-Aided Design,2006,38(9):1020-1037
[4] Biasotti S,Marini S,Spagnuolo M,et al.Sub-part correspon-dence by structural descriptors of 3D shapes[J].Computer-Aided Design,2006,38(9):1002-1019
[5] Bai J,Liu Y S,Gao S M.Multi-mode solid model retrieval based on partial matching[C]∥The 10th IEEE International Confe-rence on Computer-Aided Design and Computer Graphics.Beijing,China,2007
[6] Gal R,Cohen-Or D.Salient geometric features for partial shapematching and similarity[J].ACM Trans.Graph.,2006,25(1):130-150
[7] Li M,Fuh J Y H,Zhang Y F,et al.General and Partial Shape Matching Approaches on Feature-Based CAD Models to Support Efficient Part Retrieval[J].ASME Conference Proceedings,2008(43277):121-130
[8] Ma L J,Huang Z D,Wang Y W.Automatic discovery of common design structures in CAD models[J].Computers & Graphi-cs,2010,34(5):545-555
[9] Jackson C,Buxton M.The design reuse benchmark report:sei-zing the opportunity to shorten product development[R].Benchmark Report.2007
[10] 白静,周广平.面向设计重用的工程零件设计特征模型构建[J].计算机辅助设计与图形学学报,2011,23(004):622-632
[11] Pekka K.Tree Matching Problems with Applications to Structured Text Database [D].University of Helsinki,AAT C305045,1992

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!