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零件工序模型几何演变序列生成方法及应用 被引量:6

Generation Method and Applications of Geometry Variation Sequence of Intermediate Process Model
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摘要 针对机加工艺知识挖掘与重用困难的问题,分析得出工艺知识隐藏在零件工序模型序列的几何变化之中,并进一步提出工序模型几何演变序列的生成和相似性度量方法以及特征匹配算法.首先对工序模型的几何变更进行提取和表示,并将整个工序模型序列中所有前、后道工序间的几何变更按照工艺过程的优先级约束组成了几何演变序列;然后建立零件工序模型几何演变序列的相似性度量算法,并以算法的计算结果作为衡量零件工艺相似性的依据;在几何演变序列中提取出参与特征形成过程的变更元素建立新的加工特征模型,并通过构建特征的匹配算法来为融入加工特征形成过程的更高维的特征识别与匹配提供依据.实例结果表明,文中方法是可行性的. Machining process knowledge excavation and reuse is difficult because process knowledge is hidden in the geometry variation of intermediate process model sequence. A generation method of geometry variation sequence of intermediate process model, a process similarity measure algorithm, and a feature matching algorithm were presented in this paper. The geometry variation between the former procedure and the latter procedure is extracted and expressed, and the geometry variation sequence is set based on the precedence constraints of processing sequence. An algorithm of measuring similarity between geometry variation sequences is developedto evaluate the process similarity of parts. The geometry variation elements which is correlated with the formation of machining feature is extracted from the geometry variation sequence, and a new machining feature model is established. By applying feature model matching algorithm, features recognition and matching which integrates the formation process of features is realized. Experimental result shows that the effectiveness of proposed method is verified.
作者 李春磊 莫蓉 常智勇 杨海成 张栋梁 Li Chunlei;Mo Rong;Chang Zhiyong;Yang Haicheng;Zhang Dongliang(The Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Xi’an 710072)
出处 《计算机辅助设计与图形学学报》 EI CSCD 北大核心 2017年第3期565-574,共10页 Journal of Computer-Aided Design & Computer Graphics
基金 国家自然科学基金(51375395) 中国博士后科学基金(2014M552484) 陕西省科学技术研究发展计划项目(2013K07-10)
关键词 工序模型 几何演变序列 工艺知识 工艺相似性度量 加工特征识别 intermediate process model geometry variation sequence process knowledge process similarity measure machining features recognition
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  • 1郑伯川,彭维,张引,叶修梓,张三元.3D模型检索技术综述[J].计算机辅助设计与图形学学报,2004,16(7):873-881. 被引量:66
  • 2邹潇湘,戴琼.图同构中的一类顶点细分方法[J].软件学报,2007,18(2):213-219. 被引量:6
  • 3Zhang Y F, Nee A Y C. Using genetic algorithm in processing planning for job shop machining [J]. IEEE Trans on Evolutionary Computation, 1997, (1): 278-289.
  • 4XUE Deyi. A multilevel optimization approach considering product realization process alternatives and parameters for improving manufacturability [J]. J Manufacturing System, 1997, 16(5): 338-351.
  • 5Vancza J, Markus A. Genetic algorithm in process planning [J]. Computers in Industry, 1991, 17: 181-194.
  • 6Kiritsis D, Porchet M. A genetic petri net model for dynamic process planning and sequence optimization [J]. Advances in Eng Software, 1996, 25(1): 61-71.
  • 7Rocha J, Ramos C, Vale Z. Process planning using a genetic algorithm approach [A]. Proc of the 1999 IEEE Int Symp on Assembly and Task Planning [C]. Porto, Portugal: IEEE, 1999. 82-86.
  • 8Rudolph G. Convergence analysis of canonical genetic algorithms [J]. IEEE Trans on Neural Networks, 1994, 5(1): 96-101.
  • 9Chen D Y,Tian X P,Shen Y T,et al.On visual similarity based 3D model retrieval[J].Computer Graphics Forum.2003,22(3):223-232.
  • 10Vranic D V.An improvement of rotation invariant 3D-shape based on functions on concentric spheres[C] //Proceedings of the IEEE International Conference on Image Processing.Washington D C:IEEE Computer Society Press.2003,2:757-760.

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