智能變型設(shè)計(jì)方法及其在運(yùn)動(dòng)模擬器設(shè)計(jì)中的應(yīng)用研究
[Abstract]:Variant design can improve the design quality and design efficiency of series products with similar structure, shorten the research and development cycle of products, and enable the products to respond to market demand quickly. In this paper, the key technologies of variant design, such as part modification strategy, simulation and verification method, and the application of expert knowledge in mechanical design, are studied in detail and systematically. Taking a general motion simulator as an example, an intelligent variant design platform is developed. Based on the probability model of dimension change, the variant strategy of the model is put forward, and the dimension constraint relation network is established by combing the dimension parameter type and the transfer mode of the part, and the dimension constraint relation network and the dimension transfer delay strategy are used. Based on Bayesian formula, the probability model of dimension change of parts is constructed, and the modification strategy of parts is determined. The intelligent simulation verification technology is studied by using ANSYS secondary development technology and machine learning method. Combined with the motion characteristics of the motion simulator, the static and modal analysis of the key parts of the motion simulator is carried out, the automatic simulation platform of the motion simulator is developed by using MFC (Microsoft Foundation Classes), and the automatic simulation function based on ANSYS is realized with the APDL (ANSYS Parametric Design Language) command. Based on the BP neural network model, a parameter-based computer verification method is proposed. The design verification of motion simulator is taken as an example to verify the method. Based on JavaScript and C, the auxiliary method of mechanical design knowledge in variant design is studied. The characteristics of design knowledge are analyzed and the design knowledge is divided into three categories. According to the characteristics of each kind of knowledge, the corresponding representation and preservation methods in data structure are put forward, and the design environment based on Pro/E is combined with the corresponding design knowledge. The intelligent variant design platform is developed, and the knowledge script file is constructed by using JavaScript. Through the cooperation of the script program and the intelligent design main program, the dynamic assistance of the design knowledge in the design process is realized. According to the market demand, a general motion simulator prototype is designed, and an intelligent variant design platform for motion simulator is developed. The design platform combines variant design module, expert knowledge module and design verification module. The intelligent variant design of motion simulator is realized. Through the research on the key technologies of variant strategy, variant design verification and knowledge assistant in variant design, this paper provides a complete and effective solution for intelligent variant design of mechanical products.
【學(xué)位授予單位】:電子科技大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TB472
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