Conceptual Design of Fixtures using Genetic Algorithms

被引:48
作者
Senthil Kumar A. [1 ,2 ]
Subramaniam V. [1 ]
Seow K.C. [1 ]
机构
[1] Dept. of Mech. and Prod. Engineering, National University of Singapore, Singapore
[2] Dept. of Mech. and Prod. Engineering, National University of Singapore, 119260 Singapore
关键词
Conceptual designs; Fixture design; Genetic algorithms; Neural networks;
D O I
10.1007/s001700050042
中图分类号
学科分类号
摘要
Fixture design is a complex and intuitive process, which demands rich experience from the designer. Multiple acceptable designs are possible for a given workpiece and hence the solution space is large. Recent advances in CAD/CAM, especially in artificial intelligence, have alleviated this problem by intelligently restricting the search space considered, thus opening the possibility of obtaining better designs. Researchers have used various techniques under the general rubric of artificial intelligence to solve the fixture design problem. The most common of these have been case-based reasoning and expert systems. However, these two common methods do not ensure that the resulting solution is efficient or optimal. In this paper we propose to combine complementarily the strengths of genetic algorithms and neural networks to develop a fixture design system. Results obtained using this combined multi-agent approach for the design of fixtures are promising.
引用
收藏
页码:79 / 84
页数:5
相关论文
共 18 条
[1]  
Nee A.Y.C., Whybrew K., Senthil Kumar A., Advanced Fixture Design for FMS, (1995)
[2]  
Holland J.H., Adaptation in Natural and Artificial Systems, (1975)
[3]  
De Jong K.A., Are genetic algorithms function optimizers?, Parallel Problem Solving from Nature, 2, pp. 3-14, (1992)
[4]  
Hargrove S.K., Kusiak A., Computer-aided fixture design: A review, International Journal of Production Research, 32, 4, pp. 733-753, (1994)
[5]  
Liu C.-L., Systematic conceptual design of modular fixtures, International Journal of Advanced Manufacturing Technology, 9, 4, pp. 217-224, (1994)
[6]  
Roy U., Sun P.-L., Selection of preliminary locating and clamping positions on a workpiece for an automatic fixture design system, Computer Integrated Manufacturing Systems, 7, 3, pp. 161-172, (1994)
[7]  
Rong Y., Wu S.-H., Chu P.T., Automated verification of clamping stability in computer-aided fixture design, Computers in Engineering, Proceedings of the International Conference and Exhibit V/1 ASME, pp. 421-426, (1994)
[8]  
DeMeter E.C., The min-max load criteria as a measure of machining fixture performance, ASME Journal of Engineering for Industry, 116, 4, pp. 500-507, (1994)
[9]  
Rong Y., Bai Y., Machining accuracy analysis for computer-aided fixture design verification, Journal of Manufacturing Science and Engineering, Transactions of the ASME, 118, 3, pp. 289-300, (1996)
[10]  
Senthil Kumar A., Nee A.Y.C., Framework for a variant fixture design system using case-based reasoning technique, Proceedings of the 1995 ASME International Mechanical Engineering Congress and Exposition, 2 PART 1, pp. 763-775, (1995)