CAREER: A Research and Teaching Plan for Computer Integrated Manufacturing

*9702913 Sarma这笔赠款为开发计算机控制机床编程的新语言和控制策略提供资金。其目标是将机器控制的重要功能模块化为方便的构建块，以便快速组装复合系统。这项研究开发的语言将使用户能够指定复杂的行为，并通过工厂网络与外部传感器和机器人设备进行协调。设备之间的通信将通过开放接口标准化，用户可以在高级别上访问这些接口，而不需要处理实现细节。解释新语言的原型控制系统将在一种名为六足机器人的商用高性能机床上实现。该系统将通过使用测量探头进行过程检测以及使用力和振动传感器进行过程控制的实验进行测试。该系统还将被用作粘合剂，以整合研究人员正在开发的其他技术，包括新的刀具轨迹生成算法和自动工装系统。如果成功，这项研究将导致机器和工厂自动化的改进。新语言是对目前存在的机器编程范例的更新，它几乎没有提供与外部设备交互和集成的工具。有了新的系统，用户将能够利用新的传感器技术，或者通过将外部设备直接插入标准化接口来控制它们。然后，机器程序可以被设计为通过监控传感器来检测故障来进行自我纠正。这将实现一定程度的自治，不仅可以降低运营成本，还可以提高质量。可以通过中央网络控制多台机器，以创建自动化工厂系统。如今，这种自动化只能通过昂贵的“定制”集成来实现。***

*** 9702913 Sarma This grant provides funding for the development of a new language and control strategy for programming computer-controlled machine tools. The goal is to modularize the important functions of machine control into convenient building blocks from which composite systems can be assembled rapidly. The language developed in this research will enable users to specify complex behaviors and coordinate them with external sensors and robotic devices over factory networks. Communication between devices will be standardized through open interfaces, which can be accessed by the user at a high level without a need to deal with implementation details. A prototype control system that interprets the new language will be implemented on an commercial high-performance machine tool called a Hexapod. The system will be tested by conducting experiments in process inspection with measuring probes, and process control using force and vibration sensors. The system will also be used as a "glue" to integrate other technologies under development by the researcher, including new tool-path generation algorithms and an automatic workholding system. If successful, this research will lead to improvements in machine and factory automation. The new language is proposed as an update to the machine programming paradigm that exists today, which provides few facilities for interaction and integration with external devices. With the new system, users will be able to harness new sensor technologies, or control external devices, by plugging them directly into the standardized interfaces. Machine programs can then be designed to be self-correcting by monitoring sensors to detect faults. This will enable a level of autonomy that not only reduces operating costs, but also improves quality. Multiple machines can be controlled over a central network to create automatic factory systems. Today such automation can only be achieved through expensive "customized" integration. ***