Generation of assembly models from kinematic constraints

被引:12
|
作者
Kim, J
Kim, K [1 ]
Lee, J
Jeong, J
机构
[1] Pohang Univ Sci & Technol, Pohang, South Korea
[2] Korea Inst Sci & Technol Informat, Taejon, South Korea
[3] Chonnam Natl Univ, Kwangju, South Korea
[4] LGCNS, Seoul, South Korea
来源
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY | 2005年 / 26卷 / 1-2期
关键词
assembly modeling; constraint solving; geometric constraint; geometry mating; joint mating; kinematic constraint; mating feature;
D O I
10.1007/s00170-004-2231-3
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we propose a new joint-based assembly modeling method. In joint-based assembly modeling, the assembly constraints are specified on the components, but not on the geometric elements of the components. The proposed method generates assembly models from kinematic joint constraints by applying three procedures ( 1) to extract all feasible JMFs ( Joint Mating Feature) for each mating component using information on joint constraints, ( 2) to derive mating alternatives for each pair of mating components after reducing the number of JMFs using the pruning criteria, and ( 3) to generate an assembly model by choosing the intended one from the mating alternatives for each pair of mating components and solving the JMF constraints. Since the joint constraints are expressed in terms of the relations between components rather than relations between geometric elements, the proposed method is more intuitive and natural for assembly modeling and supports modeling activities effectively by minimizing user interactions. By using joint mating constraints for assembly modeling, moreover, the kinematic behaviors of assemblies determined in the conceptual design stage can be directly applied and consistently maintained up to the detailed design stage. In the proposed method, it is also not necessary to re-input the mating constraints even when the component topology is changed.
引用
收藏
页码:131 / 137
页数:7
相关论文
共 50 条
  • [31] CLF-based tracking control for UAV kinematic models with saturation constraints
    Ren, W
    Beard, RW
    42ND IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-6, PROCEEDINGS, 2003, : 3924 - 3929
  • [32] Formulation of workforce skill constraints in assembly line balancing models
    Tamás Koltai
    Viola Tatay
    Optimization and Engineering, 2013, 14 : 529 - 545
  • [33] Formulation of workforce skill constraints in assembly line balancing models
    Koltai, Tamas
    Tatay, Viola
    OPTIMIZATION AND ENGINEERING, 2013, 14 (04) : 529 - 545
  • [34] Plate-kinematic constraints from mantle Benard convection
    Fohlmeister, JF
    PURE AND APPLIED GEOPHYSICS, 2004, 161 (04) : 723 - 753
  • [35] Probabilistic Learning of Torque Controllers from Kinematic and Force Constraints
    Silverio, Joao
    Huang, Yanlong
    Rozo, Leonel
    Calinon, Sylvain
    Caldwell, Darwin G.
    2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2018, : 6552 - 6559
  • [36] AUTOMATIC-GENERATION OF TOLERANCE CHAINS FROM MATING RELATIONS REPRESENTED IN ASSEMBLY MODELS
    WANG, N
    OZSOY, TM
    JOURNAL OF MECHANICAL DESIGN, 1993, 115 (04) : 757 - 761
  • [37] Learning Kinematic Machine Models from Videos
    Thies, Lucas
    Stamminger, Marc
    Bauer, Frank
    2020 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND VIRTUAL REALITY (AIVR 2020), 2020, : 107 - 114
  • [38] A priori checking inconsistencies among strategic constraints for assembly plan generation
    Perrard, Christophe
    Bonjour, Eric
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2012, 63 (5-8): : 817 - 838
  • [39] A priori checking inconsistencies among strategic constraints for assembly plan generation
    Christophe Perrard
    Eric Bonjour
    The International Journal of Advanced Manufacturing Technology, 2012, 63 : 817 - 838
  • [40] Constraints on braneworld gravity models from a kinematic limit on the age of the black hole XTE J1118+480
    Psaltis, Dimitrios
    PHYSICAL REVIEW LETTERS, 2007, 98 (18)