RULE-BASED FEATURE RECOGNITION FOR 2.5D MACHINED COMPONENTS

被引:20
|
作者
DONALDSON, IA [1 ]
CORNEY, JR [1 ]
机构
[1] HERIOT WATT UNIV,DEPT MECH ENGN,EDINBURGH EH1 1HX,MIDLOTHIAN,SCOTLAND
关键词
D O I
10.1080/09511929308944555
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Feature recognition from a solid model can be treated as a pattern-directed search for specific shape properties. However, to extend the range of features and of interacting situations in which it can be of use, there is a requirement to characterize a richer set of shape properties on which search will be based. Sequences of edges that are within the convex hull of a face ('remnant' loops) and edge loops that are shared between several features add to the discriminating power of feature hunting techniques. These shape properties have been exploited in the implementation of a feature analysis system that operates on 2.5D object representations in a solid model and which derives a regional feature structure suited to three-axis machining. The motivation for its development was to provide a bridging link between a solid model representation and a knowledge-based, computer-aided, process planning system for prismatic parts.
引用
收藏
页码:51 / 64
页数:14
相关论文
共 50 条
  • [1] CONVEX HULL-BASED FEATURE-RECOGNITION METHOD FOR 2.5D COMPONENTS
    FERREIRA, JCE
    HINDUJA, S
    [J]. COMPUTER-AIDED DESIGN, 1990, 22 (01) : 41 - 49
  • [2] A hint-based machining feature recognition system for 2.5D parts
    Verma, A. K.
    Rajotia, Sunil
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2008, 46 (06) : 1515 - 1537
  • [3] A review of automated feature recognition with rule-based pattern recognition
    Babic, Bojan
    Nesic, Nenad
    Miljkovic, Zoran
    [J]. COMPUTERS IN INDUSTRY, 2008, 59 (04) : 321 - 337
  • [4] A novel 2.5D machining feature recognition method based on ray blanking algorithm
    Shi, Peng
    Tong, Xiaomeng
    Cai, Maolin
    Niu, Shuai
    [J]. JOURNAL OF INTELLIGENT MANUFACTURING, 2024, 35 (04) : 1585 - 1605
  • [5] A novel 2.5D machining feature recognition method based on ray blanking algorithm
    Peng Shi
    Xiaomeng Tong
    Maolin Cai
    Shuai Niu
    [J]. Journal of Intelligent Manufacturing, 2024, 35 : 1585 - 1605
  • [6] Action Recognition with Exemplar Based 2.5D Graph Matching
    Yao, Bangpeng
    Li Fei-Fei
    [J]. COMPUTER VISION - ECCV 2012, PT IV, 2012, 7575 : 173 - 186
  • [7] Personality Trait Prediction Based on 2.5D Face Feature Model
    Xu, Jia
    Tian, Weijian
    Fan, Yangyu
    Lin, Yuxuan
    Zhang, Chengcheng
    [J]. CLOUD COMPUTING AND SECURITY, PT VI, 2018, 11068 : 611 - 623
  • [8] Feature fusions for 2.5D face recognition in Random Maxout Extreme Learning Machine
    Chong, Lee Ying
    Ong, Thian Song
    Teoh, Andrew Beng Jin
    [J]. APPLIED SOFT COMPUTING, 2019, 75 : 358 - 372
  • [9] Matching 2.5D scans for face recognition
    Lu, XG
    Colbry, D
    Jain, AK
    [J]. BIOMETRIC AUTHENTICATION, PROCEEDINGS, 2004, 3072 : 30 - 36
  • [10] JOINT FEATURE AND KNOWLEDGE RULE-BASED AUTOMATIC RECOGNITION OF BRIDGE OVER WATER
    Sang, Lin
    Zhang, Ye
    Yan, Yiming
    [J]. 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 457 - 460