Knowledge-based intelligent design of gear reducer transmission scheme
In order to solve the problem that the comprehensive evaluation and optimization of the transmission scheme of the mechanical system are difficult to evaluate efficiently,the fuzzy analytic hierarchy process and genetic algorithm were combined to obtain the best transmission scheme suitable for the mechanical system,and the design of the transmission scheme of the gear reducer was used as an example for verification.The weight and quantitative evaluation index were determined based on the comprehensive evaluation method of fuzzy analytic hierarchy process theory.The transmission scheme was selected and evaluated through genetic algorithm.Finally,the decision was made and the optimal transmission scheme was output.Through this method,an intelligent design system model of gear reducer transmission scheme was built.Through knowledge acquisition,reasoning mechanism and control strategy,the overall design of transmission scheme was output and optimized,so as to output the optimal transmission scheme of gear reducer that meet the requirements.The design and development of knowledge-based intelligent optimization and decision-making system for gear reducer transmission scheme was realized by using MATLAB graphical user interface design box.The logical relationship between modules was established by building the optimization system,and the functions of information input and scheme output were realized.Taking the design of gear reducer as an example,through verification and analysis,the scheme can be effectively evaluated and optimized,and the availability and rationality of the system can be verified.
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