SEMI-AUTOMATIC MANUFACTURING FEATURE RECOGNITION FOR FEATURE INTERACTION PROBLEM IN PROCESS PLANNING

被引:0
|
作者
Tatkar, Deepali [1 ]
Kamat, Venkatesh [2 ]
机构
[1] New Vis Online Serv Pvt Ltd, NVI House,Tivim Ind Estate, Mapusa, Goa, India
[2] Goa Univ, Dept Comp Sci & Technol, Taleigao, Goa, India
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Automatic feature recognition has been an active area of research in solid modeling for more than two decades. In fact it is considered to be the most critical component in the integration of CAD/CAM. One of the hard problems in automatic feature recognition is to recognize interacting features. The inherent complexity of this problem is due to the missing geometry/topology information in the solid model, whenever features interact. Till date, the most promising techniques have used geometric reasoning algorithms to supply the partially missing information. In this paper, we have taken a very practical approach to the feature interaction problem. Whenever our feature recognition algorithm fails to recognize interacting features correctly, we allow the user to define a new feature. This User Defined feature is then added to the existing list of features. The entire feature list is then sent to the process planning module for preparing a detailed manufacturing plan. We claim that a User Defined feature provides a novel way to address the feature interaction problem using a man-in-the-loop interface.
引用
收藏
页码:79 / +
页数:2
相关论文
共 50 条
  • [1] Manufacturing feature recognition toward integration with process planning
    Han, JW
    Han, IH
    Lee, E
    Ti, J
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2001, 31 (03): : 373 - 380
  • [2] A Semi-automatic Feature Fusion Model for EEG-based Emotion Recognition
    Zhang, Gaotian
    Li, Shiqian
    Wang, Jiabao
    Zhou, Yun
    Xu, Tao
    2021 27TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND MACHINE VISION IN PRACTICE (M2VIP), 2021,
  • [3] Integration and application of feature recognition and mould manufacturing planning navigating process
    Jong, Wen-Ren
    Lai, Po-Jung
    Li, Tai-Chih
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2014, 52 (20) : 5945 - 5964
  • [4] A tool for semi-automatic linear feature detection based on DTM
    Bonetto, Sabrina
    Facello, Anna
    Ferrero, Anna Maria
    Umili, Gessica
    COMPUTERS & GEOSCIENCES, 2015, 75 : 1 - 12
  • [5] A semi-automatic toolbox for markerless effective semantic feature extraction
    Pastore, Vito Paolo
    Moro, Matteo
    Odone, Francesca
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [6] Semi-automatic feature specification based on snakes for image morphing
    Hassanien, AE
    Takahashi, H
    Nakajima, M
    APPLICATIONS OF DIGITAL IMAGE PROCESSING XX, 1997, 3164 : 494 - 502
  • [7] Semi-automatic feature extraction from GPR data for archaeology
    Leckebusch, Juerg
    Weibel, Andreas
    Buehler, Flurin
    NEAR SURFACE GEOPHYSICS, 2008, 6 (02) : 75 - 84
  • [8] Feature Discovery for Diachronic Register Analysis: a Semi-Automatic Approach
    Degaetano-Ortlieb, Stefania
    Lapshinova-Koltunski, Ekaterina
    Teich, Elke
    LREC 2012 - EIGHTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, 2012, : 2786 - 2790
  • [9] Semi-automatic data annotation guided by feature space projection
    Benato, Barbara C.
    Gomes, Jancarlo F.
    Telea, Alexandru C.
    Falcao, Alexandre X.
    PATTERN RECOGNITION, 2021, 109 (109)
  • [10] A semi-automatic toolbox for markerless effective semantic feature extraction
    Vito Paolo Pastore
    Matteo Moro
    Francesca Odone
    Scientific Reports, 12