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http://dx.doi.org/10.5762/KAIS.2018.19.1.672

Methodology of Shape Design for Component Using Optimal Design System  

Lee, Joon-Seong (Dept. of Mechanical System Engineering, Kyonggi University)
Cho, Seong-Gyu (Dept. of Mechanical Engineering, Graduate School, Kyonggi University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.19, no.1, 2018 , pp. 672-679 More about this Journal
Abstract
This paper describes a methodology for shape design using an optimal design system, whereas generally a three dimensional analysis is required for such designs. 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. Also, with the aid of multilayer neural networks, the present system allows us to automatically obtain a design window, in which a number of satisfactory design solutions exist in a multi-dimensional design parameter space. The developed optimal design system is successfully applied to evaluate the structures that are used. This study used a stress gauge to measure the maximum stress affecting the parts of the side housing bracket which are most vulnerable to cracking. Thereafter, we used a tool to interpret the maximum stress value, while maintaining the same stress as that exerted on the spot. Furthermore, a stress analysis was performed with the typical shape maintained intact, SM490 used for the material and the minimizing weight safety coefficient set to 3, while keeping the maximum stress the same as or smaller than the allowable stress. In this paper, a side housing bracket with a comparably simple structure for 36 tons was optimized, however if the method developed in this study were applied to side housing brackets of different classes (tons), their quality would be greatly improved.
Keywords
Computational geometry technique; Design window; Finite element analysis; Neural network; Optimal design;
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