【作者】 张学良；

【导师】 胡树根； 宋小文；

【作者基本信息】 浙江大学 ， 机械设计及理论， 2004， 硕士

【摘要】 随着计算机技术的飞速发展，模具CAD和人工智能技术已经有了长足的发展。专家系统作为人工智能技术的一个重要分支，已经成为工程技术领域复杂问题求解的重要手段。把传统模具CAD技术和专家系统结合起来，进行注塑模智能化设计的开发和研究，能够大大提高注塑模具设计的质量和效率，缩短模具开发周期，降低模具成本。 本文在研究注塑模CAD技术的基础上，通过引入人工智能技术，采用专家系统的设计方法，综合运用面向对象技术、数据库技术、模糊理论和计算机图形技术，设计实现一个嵌入式注塑模脱模机构智能化设计系统。 本文主要从以下几个方面进行了研究： 论文总结了当前注塑模CAD的研究现状和技术发展方向；阐述了专家系统的发展趋势和研究现状；在对注塑模脱模机构进行分析研究的基础上，确立了系统的总体解决方案及关键技术。 运用面向对象技术，对注塑模脱模机构设计中的确定性知识进行分析研究，建立一种基于智能对象的知识处理模型，用于确定塑件的几何形状特征。 针对注塑模脱模机构设计中的模糊性知识，建立一种基于模糊理论的知识处理模型，实现脱模方式的智能推断。 根据软件工程思想，将顶出元件尺寸参数计算转换成程序代码，并封装成模块。将计算过程中需要查手册的材料性能等参数存储在数据库中，从而大大降低了劳动强度，提高了设计效率。 研究三维参数化实体造型技术在注塑模脱模机构可视化中的应用，建立脱模机构中各标准件或常用件的三维参数化造型；并按照相互间的位置关系，将它们组装成一个完整的三维脱模机构实体模型。 利用人机交互技术，在AutoCAD 2000界面基础上开发出直观友好、易于操作的用户菜单，使系统无缝地集成在AutoCAD平台中，构成了一个相互联系、相互依赖的有机整体。 作为注塑模智能CAD系统的一个重要组成部分，本系统旨在实现对任一常见注塑制品脱模方式的智能化推断及相应脱模机构三维实体模型的自动生成。它的研究与实现，对于注塑模具CAD开发具有一定的应用和参考价值。更多还原

【Abstract】 With the development of computer technology, the artificial intelligence(AI) technology is growing fast. As an important branch of AI, the expert system is a strong method in the field of engineering and technology. By applying expert system in injection mould, the efficiency of designment and quality of mould can be obviously improved, the period and cost of designment can be reduced.Based on researching the intellectualized designment in ejection mechanism of injection mould, including AI technology and expert system, a ejection system of plastic mould is researched and achieved by comprehensively applying object-oriented technology, database technology and fuzzy theory .The following points are finished in the dissertation: The dissertation summarizes the current development of the injection mould CAD field, and expatiates the direction and the current research of the expert system. The collectivity solution and the key technologies are established based on the particular analysis of the ejection mechanism. The undoubted knowledge in ejection mechanism of injection mould is analysed by applying object-oriented technology. , a reasoning model of knowledge is established based on intelligent object. To the fuzzy knowledge in ejection mechanism of injection mould, a reasoning model of knowledge is established based on fuzzy theory to acquire the appropriate ejection way conveniently. According to the idea of software engineering, the calculating formula for the size of ejection parts is transformed into programming code and encapsulated into module. The plastic propertiesand so on are saved in database, so designers can be free from heavy calculation and be absorbed in creative design activity with more energy. 3D parametric modeling technology is used on the visualization of ejection mechanism. Finally, these 3D solid models of standard parts are assembled into a complete 3D model of ejection system.This dissertation is just focus on one important part of intelligent CAD system for plastic injection mold. Its aim is to realize the intelligent selection for ejecting way of any common plastic product and automatic generation for the according 3D model of ejection system. Its research and realization have application and reference value for the development of mould CAD.更多还原