Research on Knowledge-based and Featured Mechanical Part Modeling

被引:0
|
作者
Zhu, Wenbo [1 ]
Wu, Xinren [1 ]
Gan, Yi [1 ]
Chen, Long [1 ]
机构
[1] Shanghai Univ Sci & Technol, Sch Mech Engn, Shanghai 200093, Peoples R China
关键词
KBE; Mechanical part modeling; Feature; Process planning rules; Process feasibility analysis;
D O I
10.4028/www.scientific.net/AMM.365-366.129
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Knowledge-based Engineering (KBE) should be introduced into the field of mechanical part modeling. The knowledge-based and featured mechanical part modeling is proposed based on the two layers of knowledge base. Features and process planning rules for mechanical parts are integrated and explicit knowledge and tacit knowledge are involved in this model. Explicit knowledge includes basic information, shape feature, precision feature, material feature and assemble feature, and tacit knowledge includes process rule-based reasoning and process feasibility analysis. The model proposed will help to the following process planning and play a very important role to improve the success rate of design mechanical parts. Finally a case study is conducted.
引用
收藏
页码:129 / 132
页数:4
相关论文
共 50 条
  • [1] Research on Knowledge-based Connecting Elements Modeling
    HUANG Xiang
    [J]. 厦门大学学报(自然科学版), 2002, (S1) : 162 - 163
  • [2] Research on knowledge-based design of complex mechanical product
    Zhang, Xiao-Li
    Hu, Dong-Ming
    Wu, Bao-Gui
    [J]. Dalian Ligong Daxue Xuebao/Journal of Dalian University of Technology, 2010, 50 (06): : 917 - 920
  • [3] Knowledge-based part correspondence
    Super, Boaz J.
    [J]. PATTERN RECOGNITION, 2007, 40 (10) : 2818 - 2825
  • [4] Research on the Competitiveness of Knowledge-Based Workers in Knowledge-Based Organization
    Sun Xinqing
    Wang Pengju
    Ma Xiaohua
    [J]. PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON INNOVATION AND MANAGEMENT, VOLS I AND II, 2010, : 1409 - 1413
  • [5] Knowledge-based mechanical imaging
    Sarvazyan, AP
    [J]. TENTH IEEE SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, PROCEEDINGS, 1997, : 120 - 125
  • [6] KNOWLEDGE-BASED PROTEIN MODELING
    JOHNSON, MS
    SRINIVASAN, N
    SOWDHAMINI, R
    BLUNDELL, TL
    [J]. CRITICAL REVIEWS IN BIOCHEMISTRY AND MOLECULAR BIOLOGY, 1994, 29 (01) : 1 - 68
  • [7] The research and application of knowledge-based mechanical product conceptual design system
    Zhang, Hong
    Li, Ai-ping
    [J]. 2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 10842 - 10845
  • [8] CURRENT RESEARCH ADVANCES AND IMPLEMENTATIONS IN SMART KNOWLEDGE-BASED SYSTEMS: PART II
    Szczerbicki, Edward
    Grana, Manuel
    Posada, Jorge
    Toro, Carlos
    [J]. CYBERNETICS AND SYSTEMS, 2013, 44 (2-3) : 184 - 186
  • [10] A KNOWLEDGE-BASED APPROACH TO CIM MODELING
    CHAUDHURY, A
    RAO, HR
    KAPARTHI, S
    [J]. JOURNAL OF INTELLIGENT MANUFACTURING, 1991, 2 (04) : 223 - 234