智能变型设计方法及其在运动模拟器设计中的应用研究
发布时间：2018-10-16 11:48
【摘要】：变型设计可以提高具有相似结构的系列产品的设计质量和设计效率,缩短产品的研发周期,使产品能够快速响应市场需求。本文对变型设计过程中的零件变型策略、仿真验证方法以及专家知识在机械设计中的应用方法等关键技术进行了较为深入系统的研究。以一款通用型运动模拟器为例,开发了智能变型设计平台。基于尺寸变化概率模型提出了模型的变型策略,通过对零件尺寸参数类型和传递方式的梳理,建立了尺寸约束关系网络;利用尺寸约束关系网络和尺寸传递延时策略,提出了尺寸传递冲突处理方法;基于贝叶斯公式,构建了零件的尺寸变化概率模型,确定了零件的变型策略。利用ANSYS二次开发技术与机器学习方法对智能仿真验证技术进行了研究。结合运动模拟器的运动特点,对其关键部位进行了静力学和模态分析;利用MFC(Microsoft Foundation Classes)开发了运动模拟器的自动仿真平台,结合APDL(ANSYS Parametric Design Language)命令,实现了基于ANSYS的自动仿真功能;利用BP神经网络模型,提出了基于参数的计算机验证方法,以运动模拟器的设计验证为例对该方法进行了验证。基于JavaScript与C++对机械设计知识在变型设计中的辅助方法进行了研究。分析了设计知识的特点,将设计知识分为三类,针对每一类知识的特点,提出了相应的在数据结构中的表示与保存方法;基于Pro/E的设计环境,结合相应的设计知识,开发了智能变型设计平台;利用JavaScript构建了知识脚本文件,通过脚本程序与智能设计主程序的配合,实现了设计知识在设计过程中的动态辅助。结合市场需求,设计了一款通用型运动模拟器样机,开发了面向运动模拟器的智能变型设计平台,该设计平台融合了变型设计模块、专家知识模块、设计验证模块,实现了运动模拟器的智能变型设计。本论文通过对变型策略、变型设计验证、变型设计中的知识辅助等关键技术的研究,为机械产品的智能变型设计提供了一套完整的、有效的解决方案。
[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.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TB472
本文编号：2274262
[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.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TB472
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