Neural network based non-standard feature recognition to integrate CAD and CAM

Ozturk N., Ozturk F.

COMPUTERS IN INDUSTRY, cilt.45, sa.2, ss.123-135, 2001 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 45 Sayı: 2
  • Basım Tarihi: 2001
  • Doi Numarası: 10.1016/s0166-3615(01)00090-2
  • Dergi Adı: COMPUTERS IN INDUSTRY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.123-135
  • Anahtar Kelimeler: feature recognition, neural networks, CAD/CAM, FEATURE-BASED DESIGN, MANUFACTURING FEATURES, DISCRIMINANT-ANALYSIS, AUTOMATIC EXTRACTION, COMPONENTS, SYSTEMS, DECOMPOSITION, HEURISTICS, MODELS
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

In this paper, a neural network based feature recognition approach which is capable of extracting information from design database is proposed to automate the integration of the design and applications following design. CAD data base is converted to feature based model information which can be used by CAM applications. Multilayer perceptron neural network is provided with Boundary representation (B-rep) information to recognise simple and complex features. B-rep structure is used to process the face-score values in terms of geometry and topology of the solid model. The effectiveness of proposed approach is demonstrated with experimental results which show the validity of this method to recognise complex shape features. (C) 2001 Elsevier Science B.V. All rights reserved.