Coded shape representation and its application to mechanical and structural design

  • Shuichi Fukuda
Visualization Techniques
Part of the Lecture Notes in Computer Science book series (LNCS, volume 492)


Although it is widely accepted that shape plays an important role in mechanical and structural design, most of the shape models up to now have discussed the problem in terms of numerical processing framework. But the quickly increasing diversity and complexity of products calls for more flexible and qualitiative models which will permit the interpretation of the semantics of the product shape. Therefore, we developed a new 2D shape model based on the idea of directional code. The main feature of this model is that a shape is represented in the form of a list so that all shape minipulations can be reduced to list operations . Hence, semantic meanings can be easily added and the form features can be extracted without any difficulty.

Key Words

Mechanical and Structural Design 2-dimensional Shape Model Directional Code List Expression Qualitative Model 


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  1. [1]
    J. R. Dixon, Research in Designing with Features, Special Issue “Intelligent CAD”, Computrol, No.25, pp. 112–117, 1989 (in Japanese).Google Scholar
  2. [2]
    H. Freeman, Computer Processing of Line-drawing Images, Computer Survey, 6-1, pp.57–97, 1974.Google Scholar
  3. [3]
    S. Fukuda, Reliability Design Expert System, Maruzen, 1990 (in Japanese).Google Scholar
  4. [4]
    G. M.Turkiyyah, and S. J. Fenves, Knowledge-based Analysis of Structural Systems, Knowledge Based Expert Systems in Engineering: Planning and Design (D. Sriram, and R. A. Adey, editors), pp.273–284, Computational Mechanics Publications,1987Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • Shuichi Fukuda
    • 1
    • 2
  1. 1.Welding Research InstituteOsaka UniversityJapan
  2. 2.Institute of Industrial ScienceUniversity of TokyoJapan

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