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参数化模型的局部自动适应重用方法 被引量:5

An Automatic Adaptation Reuse Method for the Subparts of Parametric Solid Models
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摘要 在基于局部重用的零件设计中,设计人员会选择较复杂的可重用局部区域来替换当前零件模型中与其形状相似的简单局部,期间一般必须进行适应性修改且往往离不开人工交互.为了使得可重用局部区域能自动满足简单局部区域所蕴含的设计需求,提出一种局部自动适应方法.首先基于种子面过滤来确定两局部区域之间的对应面,并以此作为它们的关联元素;其次采用带定位信息的三维尺寸约束图来显式地表示参数化的局部形状尺寸和定位信息;最后基于对应面和带定位信息的三维尺寸约束图,通过尺寸传递和约束传递分别将简单局部区域的形状和定位信息自动、准确地传播到可重用局部区域.实验结果表明,该方法能有效地支持基于局部重用的零件设计. Adaptation plays a fundamental role in subpart reuse based part design and is usually human de-pendent. In common design works, designers often replace a simple subpart (possessing the design require-ments of shape and location information) in the current design model with an existing reusable subpart hav-ing a similar shape as the simple subpart but more complex. To enable the reusable subpart to smartly adapt itself to the design requirements implied by the simple subpart, a novel automatic adaptation reuse method for subparts is proposed. First, to determine the corresponding faces between the two subparts as their rele-vant elements, a seed face filter method is adopted. Second, to explicitly represent the parametric shape di-mensions and location information of a subpart, a 3D dimension constraint graph with location information is adopted. Finally, based on the corresponding face and the 3D dimension constraint graph, the reusable subpart automatically and accurately adapts its shape and location information to those of the simple subpart through dimension transferring and constraint transferring respectively. The experimental results show that the proposed method is effective for subpart reuse based part design.
出处 《计算机辅助设计与图形学学报》 EI CSCD 北大核心 2016年第2期314-327,共14页 Journal of Computer-Aided Design & Computer Graphics
基金 国家"八六三"高技术研究发展计划(2013AA041301) 国家自然科学基金(61173125 61303136) 浙江省自然科学基金(LQ15F020011)
关键词 模型局部 自动重用 对应面 形状传递 定位信息传递 subpart automatic reuse corresponding face shape transfer location information transfer
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参考文献33

  • 1Gunn T G. The mechanization of design and manufacturing[J].Scientific American, 1982, 247(3): 115-130. 被引量:1
  • 2Ullman D G. The Mechanical Design Process[M]. 4th ed. New York:Mcgraw-Hill, 2009: 1-362. 被引量:1
  • 3Watson I, Perera S. Case-based design: a review and analysis ofbuilding design applications[J]. Artificial Intelligence for Engia neering, Design, Analysis and Manufacturing, 1997, 11(1): 59-87. 被引量:1
  • 4Chen X, Gao S M, Guo S, et al. A flexible assembly retrievalapproach for model reuse[J]. Computer-Aided Design, 2012,44(6): 554-574. 被引量:1
  • 5Tsai C Y, Chang C A. A two-stage fuzzy approach to feature-based design retrieval[J]. Computers in Industry, 2005,56(5): 493-505. 被引量:1
  • 6Chakrabarti A, Shea K, Stone R, et al. Computer-based designsynthesis research: an overview[J]. Journal of Computing andInformation Science in Engineering, 2011, 11(2): 021001-021010. 被引量:1
  • 7刘贞报,布树辉,周昆,高曙明,韩军伟,吴俊.A Survey on Partial Retrieval of 3D Shapes[J].Journal of Computer Science & Technology,2013,28(5):836-851. 被引量:5
  • 8Pan W B, Chen X, Gao S M. Automatic shape adaptation forparametric solid models[J]. Computer-Aided Design, 2015, 62:78-97. 被引量:1
  • 9The Dassault Systèmes SolidWorks Corporation. SolidWorksweb help[OL]. [2015-02-26]. http://help.solidworks.com/HelpProducts.aspx. 被引量:1
  • 10胡仁喜,刘昌丽等编著..UG NX9.0中文版从入门到精通[M].北京:机械工业出版社,2014:447.

二级参考文献181

  • 1孙正兴,冯桂焕,周若鸿.基于草图的人机交互技术研究进展[J].计算机辅助设计与图形学学报,2005,17(9):1889-1899. 被引量:54
  • 2白静,刘玉生,高曙明.基于局部蔓延的多层次实体模型检索[J].计算机辅助设计与图形学学报,2007,19(4):480-485. 被引量:7
  • 3Iyer N, Jayanti S, Lou K Y, et al. Three-dimensional shape searching: state-of the art review and future trends[J]. Computer-Aided Design, 2005, 37(5): 509-530. 被引量:1
  • 4Quintana V, Rivest L, Pellerin R, et al. Will model-based definition replace engineering drawings throughout the product lifecycle? A global perspective from aerospace industry [J]. Computers in Industry, 2010, 61(5): 497-508. 被引量:1
  • 5Li 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 [C] //Proceedings of the 28th Computers and Information in Engineering Conferences. New York:ASME Press, 2008:121-130. 被引量:1
  • 6Bai J, Gao S M, Tang W H, et al. Design reuse oriented partial retrieval of CAD models [J]. Computer-Aided Design, 2010, 42(12): 1069-1084. 被引量:1
  • 7Ma L J, Huang Z D, Wang Y W. Automatic discovery of common design structures in CAD models [J]. Computers Graphics, 2010, 34(5): 545-555. 被引量:1
  • 8Inokuchi A, Washio T, Motoda H. Complete mining of frequent patterns from grahps: mining grahp data [J].Machine Learning, 2003, 50(3):321-354. 被引量:1
  • 9Ma L J, Huang Z D, Wu Q S. Extracting common design patterns from a set of solid models[J]. Computer-Aided Design, 2009, 41(12): 952-970. 被引量:1
  • 10Agrawal R, Imielinski T, Swami A. Mining association rules between sets of items in large database [C] //Proceedings of ACM SIGMOD International Conference on Management of Data. NewYork: ACMPress, 1993: 207-216. 被引量:1

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