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Automated Structural Design System Using Fuzzy Theory and Neural Network  

Lee, Joon-Seong (Division of Electronic & Mechanical Engineering, Kyonggi University)
Publication Information
International Journal of Precision Engineering and Manufacturing / v.3, no.1, 2002 , pp. 43-48 More about this Journal
Abstract
This paper describes an automated computer-aided engineering (CAE) system for three-dimensional structures. An automatic finite element mesh-generation technique, which is based on fuzzy knowledge processing and computational geometry techniques, is incorporated into the system, together with a commercial FE analysis code, and a commercial solid modeler. The system allows a geometry model of interest to be automatically converted to different FE models, depending on the physical phenomena of the structures to be analyzed, i.e., electrostatic analysis, stress analysis, modal analysis, and so on. Also, with the aid of multilayer neural networks, the present system allows us to obtain automatically a design window in which a number of satisfactory design solutions exist in a multi-dimensional design parameter space. The developed CAE system is successfully applied to evaluate an electrostatic micromachines.
Keywords
Computer Aided Engineering; Micromachine; Fuzzy Theory; Computational Geometry Technique; Neural Network; Design Window;
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  • Reference
1 Chiyokura, H., Solid Modeling with DESIGNBASE : Theory and Implementation, Addison-Wesley, 1988
2 Zadeh, L. A., 'Outline of a New Approach to the Analysis of Complex Systems and Decision Process,' IEEE Transactions on Systems, Man and Cybernetics, SMC-3, pp. 28-44, 1973   DOI
3 Watson, D. F., 'Computing the n-Dimensional Delaunay Tessellation with Application to Voronoi Polytopes,' The Computer Journal, Vol. 24, pp. 162-172, 1981   DOI   ScienceOn
4 Sloan, S. W., 'A Fast Algorithm for Constructing Delaunay Triangulation in the Plane,' Advances in Engineering Software, Vol. 9, pp. 34-55, 1987   DOI
5 Petersen, K. E., 'Silicon as a Mechanical Material,' Proceeding of IEEE, 70, pp. 420-457, 1982   DOI   ScienceOn
6 Shibaike, N., 'Design of Micro-mechanisms Focusing on Configuration, Materials and Processes,' Intemational Joumal of Materials & Design, in Print
7 Lee, J.-S., 'Automatic Mesh Generation System of 3-D Shell Structures Based on Fuzzy Knowledge Processing,' Institute of Industrial Technology Joumal, Vol. 13, pp. 227-248, 1997
8 Lee, J.-S., 'Automated Simulation System for Micromachines,' Journal of the Korea Society for Simulation, Vol. 5, No. 1, pp. 29-41, 1996
9 Lee, J.-S., Yagawa, G., and Park, M.W., 'Automatic Mesh Generation for Three-Dimensional Structures Consisting of Free-Form Surfaces,' Transactions of the Society of CAD/CAM Engineers, Vol. 1, No. 1, pp. 65-75, 1996
10 Lee, J.-S., 'Automated CAE System for Three-Dimensional Complex Geometry,' Doctoral Thesis, The University of Tokyo, 1995
11 MARC Analysis Research Corporation, MARC manual k 5.2, 1994
12 Rumelhan, D. E., Hinton, G. E., and Williams, G. E., 'Leaming Representation by Back-propagation Errors,' Nature, 323, pp. 533-536, 1986   DOI
13 Asano, T., 'Practicat Use of Bucketing Techniques in Computational Geometry,' Computational Geometry, North-Holland, pp. 153-195, 1985
14 L. A. Zadeh, L. A., 'Fuzzy Algorithms,' Information and ControI, 12, pp. 94-102, 1968   DOI