Paper
20 February 2006 Knowledge-based engineering for mould design based on the use of genetic algorithm
Peng Jiang, Jianjun Hu, Hongbin Xu
Author Affiliations +
Proceedings Volume 6041, ICMIT 2005: Information Systems and Signal Processing; 604109 (2006) https://doi.org/10.1117/12.664286
Event: ICMIT 2005: Merchatronics, MEMS, and Smart Materials, 2005, Chongqing, China
Abstract
The process of mould design depends on one's engineering knowledge and design experience. Knowledge-based engineering (KBE) adequately utilizes such knowledge and experience to design. KBE is a very important approach for increasing the intelligence and speed-up of the time of engineering design. In recent years, the use of genetic algorithms, as an optimization method, enables a rapid development. It searches the optimum solution for a problem using the principle of "survival of the fittest". In the process of mould design, constraint conditions for important parameters are set up. Then, a genetic algorithm is used to code these parameters and search for the optimum (or approximate optimum) solution of these parameters. Compared with general KBE, the KBE based on a genetic algorithm enhances the efficiency of design and the precision of solution. It not only makes use of the knowledge and experience of experts and designers, but also utilizes the great ability and generality of genetic algorithms in searching for an optimum solution.
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Peng Jiang, Jianjun Hu, and Hongbin Xu "Knowledge-based engineering for mould design based on the use of genetic algorithm", Proc. SPIE 6041, ICMIT 2005: Information Systems and Signal Processing, 604109 (20 February 2006); https://doi.org/10.1117/12.664286
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KEYWORDS
Computer aided design

Genetic algorithms

Manufacturing

Signal processing

Artificial intelligence

Product engineering

Finite element methods

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