面向工件主动寻位安装方法的信息处理系统的研发及其工程应用
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摘要
进入21世纪后,制造业发生的巨大变化加速了产品市场从单一化、大批量向多元化及单件定制的个性化方向发展,许多新颖的制造技术层出不穷,传统的适合于大批量生产模式的夹具已经不能适应这些新的制造模式,更柔性、高效和通用化的夹具也就成为目前国内外研究人员关注的热点之一。针对以上问题,李蓓智教授等提出了一种非传统的工件安装技术和能够主动寻位与状态记忆的通用夹具系统(Initiative Location and State Memory—IL&SM)。本文的研究对象为IL&SM夹具系统的核心部分——信息处理系统(Information Processing System—IPS),它通过获取零件的相关信息,进行毛坯与填料厚度的设计,设计或配置出合理的寻位箱,智能布置寻位元件,完成基准转换,并负责与状态成型系统、工件安装系统、NC编程系统等模块的通讯。
     本文首先进行了信息处理系统的总体设计,分析了IPS的核心地位、工作流程和主要功能,确定了IPS的软件开发平台及其数据结构。其次,对寻位箱的结构进行了优化设计,确定了母体基础板内嵌的箱体结构。然后,对主动寻位安装方法的关键技术进行了研究,主要包括人工智能技术在信息处理系统中的应用和基准转换几何计算模型的实现。接着,对信息处理子系统进行了详细设计,包括数据库的设计、寻位箱参数化设计及其配置、毛坯设计及其在寻位箱中的定位安装、填料设计与管理及其关键填料参数设定、寻位元件的智能布置、系统间通讯和系统管理。最后,给出了IPS的工程应用案例。
Since the 21st century, great changes in manufacturing industry accelerated the development of product market from unitary and mass production to plural and individualized production in which each item is made to order. Many original manufacturing technologies are emerging one after another. Those traditional fixtures suitable for mass production cannot adapt to the new manufacturing modes. Domestic and foreign researchers paid their focus on those more flexible, effective and general fixtures. In according with the above-mentioned problems, Professor Li Beizhi put forward an untraditional technology of workpiece installation and a general fixture system with Initiative Location and State Memory (IL&SM). This paper focuses on the core part of the IL&SM Fixture System -Information Process System (IPS).
    After relevant information is obtained from the current part, IPS designs the roughcast and the parameters of stuffing, matches or designs rational locating box, positions all the locating bolt, finishes the procedure of datum conversion and ensures the communications between State Shaping System, Part Fixing System and NC Programming System.
    This paper first introduces the system design procedure of IPS, which analyzed its core importance, working flow and major functions, and then determines its software developing platform and data structure. Secondly, through optimization, the structure of locating box is determined to keep the matrix basic board inside. Thirdly, some key technologies in IPS are discussed, including artificial intelligence and the algorithm of datum conversion. Lastly, the detailed design procedure is brought forward, which consists of the design of database, the parameterized design and matching of locating box, design of roughcast and its fixing in the locating box, design and management of stuffing, communications between all subsystems, intelligent positioning of locating bolts and management of IPS. In addition a use case is provided to demonstrate the application of IPS.
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