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Intelligent system for feature- based modelling of machine parts

  • CAD I
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Book cover Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE 1992)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 604))

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Abstract

This paper proposes a new system for feature- based modelling- ISFBM with built in strategy for defining details by their features, realizing design process over the computational model of rule- based systems paradigm. The construction includes facts for describing the features and rules for modelling with them. The presented approach gives a flexible and convenient mechanism for modifying the model and semantic analysis of the received product. Specific characteristic is the tool for automatic generation of general features, based on the primitive ones, with which the domain of application is extended.

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Author information

Authors and Affiliations

  1. Department of Programming and Computer Applications, Technical University, 1156, Sofia, Bulgaria

    Anna Lekova & Dentcho Batanov

  2. Artificial Intelligence Laboratory, Department of Computer Science, Technical University, 1156, Sofia, Bulgaria

    Nikolay Nikolaev

Authors
  1. Anna Lekova
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  2. Dentcho Batanov
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  3. Nikolay Nikolaev
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Editor information

Fevzi Belli Franz Josef Radermacher

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© 1992 Springer-Verlag Berlin Heidelberg

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Lekova, A., Batanov, D., Nikolaev, N. (1992). Intelligent system for feature- based modelling of machine parts. In: Belli, F., Radermacher, F.J. (eds) Industrial and Engineering Applications of Artificial Intelligence and Expert Systems. IEA/AIE 1992. Lecture Notes in Computer Science, vol 604. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0024969

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  • DOI: https://doi.org/10.1007/BFb0024969

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55601-5

  • Online ISBN: 978-3-540-47251-3

  • eBook Packages: Springer Book Archive

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