Article

Knowledge-based engineering for mould design based on the use of genetic algorithm

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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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Article
Combined with the progress in knowledge-based engineering (KBE) in design and data diagram of the designing mold base, the basic frame of KBE system of mold base design was presented and its key technologies (knowledge processing, case reasoning and neural network) were researched. According to the resolvability of engineering design process, frame-rule method is adopted as knowledge representation and its reasoning method is given in flowchart, and this method that oriented in sub-project in engineering improves the knowledge processing ability in KBE system. Integrated with the case reasoning in system, recalling the similar case efficiently improves the mold design ability. Utilizing self-learning ability of neural network, the calculation of the set-in and mold base dimension are solved using theoretic and experiential equation. According to the practice in factories, this system can enhance the ability of the mold design and analyzing.