KNOWLEDGE-BASED GLUING OPERATORS FOR FEATURE-BASED MODELING

被引:0
|
作者
NALLURI, SRPR [1 ]
GURUMOORTHY, B [1 ]
机构
[1] INDIAN INST SCI,DEPT MECH ENGN,BANGALORE 560012,KARNATAKA,INDIA
关键词
FEATURE-BASED DESIGN; FEATURE-BASED EDITING; FEATURE CLASSIFICATION; GLUING; HIERARCHICAL GEOMETRIC CONSTRUCTION; BOUNDARY EVALUATION;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A feature-based modelling system (FBMS) offers features of engineering significance such as slot, pocket and rib as model-building primitives, unlike the solid primitives offered by conventional constructive solid geometry (CSG) modelling systems. The usual practice is to build FBMS over a conventional CSG modelling system. In such a system the evaluated boundary representation of the part is generated by converting features into solid primitives and corresponding Boolean operations. In this paper we propose a direct method of gluing the feature. The feature representation generated from the input specification is merged with the representation of the base-solid based on the gluing rules implicit in the feature type definition. Generic features are identified by rational classification of the features of engineering significance. Feature definitions are structured such that the generic content is separated from the non-generic content. Gluing operators are developed for all generic types. The major conclusion drawn from this work is that the percolation of the knowledge that can be associated with features at the model-building level enables implementation of systems that display intelligence.
引用
收藏
页码:129 / 138
页数:10
相关论文
共 50 条
  • [1] Articulatory feature-based pronunciation modeling
    Livescu, Karen
    Jyothi, Preethi
    Fosler-Lussier, Eric
    COMPUTER SPEECH AND LANGUAGE, 2016, 36 : 212 - 232
  • [2] FEATURE-BASED MODELING IN DESIGN FOR ASSEMBLY
    MOLLOY, E
    YANG, H
    BROWNE, J
    INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 1993, 6 (1-2) : 119 - 125
  • [3] The ideas of feature-based parametric modeling
    Fu, Q
    Xiao, YS
    PROCEEDINGS OF THE 4TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-4, 2002, : 126 - 128
  • [4] Feature-based multiresolution modeling of solids
    Lee, SH
    ACM TRANSACTIONS ON GRAPHICS, 2005, 24 (04): : 1417 - 1441
  • [5] Feature-based reverse modeling strategies
    Ke, Yinling
    Fan, Shuqian
    Zhu, Weidong
    Li, An
    Liu, Fengshan
    Shi, Xiquan
    COMPUTER-AIDED DESIGN, 2006, 38 (05) : 485 - 506
  • [6] FEATURE-BASED MODELING FOR MECHANICAL DESIGN
    CHUNG, JCH
    PATEL, DR
    COOK, RL
    SIMMONS, MK
    COMPUTERS & GRAPHICS, 1990, 14 (02) : 189 - 199
  • [7] Ontological foundations for feature-based modeling
    Sanfilippo, Emilio M.
    28TH CIRP DESIGN CONFERENCE 2018, 2018, 70 : 174 - 179
  • [8] Feature-Based Attention and Feature-Based Expectation
    Summerfield, Christopher
    Egner, Tobias
    TRENDS IN COGNITIVE SCIENCES, 2016, 20 (06) : 401 - 404
  • [9] KNOWLEDGE-BASED FEATURE RECOGNIZER FOR MACHINING
    YEO, SH
    COMPUTER INTEGRATED MANUFACTURING SYSTEMS, 1994, 7 (01): : 29 - 37
  • [10] KNOWLEDGE-BASED PROTEIN MODELING
    JOHNSON, MS
    SRINIVASAN, N
    SOWDHAMINI, R
    BLUNDELL, TL
    CRITICAL REVIEWS IN BIOCHEMISTRY AND MOLECULAR BIOLOGY, 1994, 29 (01) : 1 - 68