JOINED AUTOMATIC MATERIAL EVALUATION SYSTEMand MOBILE AUTOMATIC INSPECTION DEVICE

连体自动材料评估系统及移动式自动检测装置

• 批准号: 445127768
• 金额: --
• 依托单位: Universität Stuttgart
• 依托单位国家: 德国
• 项目类别: Major Research Instrumentation
• 财政年份: 2020
• 资助国家: 德国
• 起止时间: 2019-12-31 至 无数据
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/445127768?language=en
• 关键词: JOINED; AUTOMATIC; MATERIAL; EVALUATION; SYSTEMand

The major research instrumentation project proposal submitted here addresses automated non-destructive material testing and includes a mobile robot system that can be flexibly positioned in the room using air cushions. By means of a second synchronized robot, measurements on complex and large components can also be carried out in transmission. The position of both robots in the room is precisely known via a laser tracking system. The system offers a research platform to investigate the influence of robot systems on the numerous test procedures and method approaches and their test reliability. The system is initially designed for airborne ultrasonic testing, but will be expanded to include conventional ultrasonic testing, active thermography, eddy current testing, optical shearography and vibration analysis.In addition to optimizing the inspection hardware, the scanning system itself is an important factor in non-destructive component inspection. The robot path of the scanning system can be programmed directly by hand for the automated use of a repetitive component inspection. In a further step, further optimization is possible through path planning directly on the computer. The CAD data of the component to be inspected can be loaded directly into a program environment and the robot path can thus be simulated in advance. The last step in the optimization of the automated inspection process is the independent acquisition of the component geometry using an optical scanner attached to the robot arm (e.g. strip light projection). With the help of this data, a scan pattern can be created fully automatically and placed on the component geometry. A tool change to a non-destructive testing tool enables fully automatic component testing without the intermediate step of manually "teaching" the robot paths. This results in the following three classifications of the different degrees of automation for the planned projects: a) semi-automatic (robot is taught in manually), b) fully automatic (path planning is created on the computer from CAD data) and c) intelligent robot system (automated path planning using visual inspection). The research questions are also divided into the following test specific questions: 1) defect detection, 2) material characterization and 3) reliability of the test statement, which focuses primarily on materials such as plastics, composites and hybrid components. The device is used by four main users of the University of Stuttgart, the Institute of Plastics Technology, the Institute of Aircraft Construction, the Materials Testing Institute, and the Institute ofIntelligent sensor technology and theoretical electrical engineering are used for cooperative research purposes, and further external partners are planned for research cooperations.

这里提交的主要研究仪器项目提案涉及自动化非破坏性材料测试，包括一个移动的机器人系统，可以使用气垫灵活地定位在房间里。通过第二个同步机器人，也可以在传输中对复杂和大型部件进行测量。两个机器人在房间里的位置通过激光跟踪系统精确地知道。该系统提供了一个研究平台，研究机器人系统对众多的测试程序和方法的途径及其测试的可靠性的影响。该系统最初设计用于机载超声波检测，但将扩展到包括常规超声波检测、主动热成像、涡流检测、光学剪切和振动分析。除了优化检测硬件外，扫描系统本身也是无损部件检测的重要因素。扫描系统的机器人路径可以直接手动编程，用于自动重复部件检测。在进一步的步骤中，可以通过直接在计算机上进行路径规划来进一步优化。待检测部件的CAD数据可以直接加载到程序环境中，因此可以预先模拟机器人路径。优化自动化检测过程的最后一步是使用连接到机器人臂的光学扫描仪（例如条形光投影）独立采集部件几何形状。在这些数据的帮助下，可以完全自动地创建扫描图案并将其放置在组件几何体上。将工具更换为非破坏性测试工具可实现全自动组件测试，而无需手动“教导”机器人路径的中间步骤。这导致计划项目的不同自动化程度的以下三种分类：a）半自动（机器人手动示教），B）全自动（在计算机上根据CAD数据创建路径规划）和c）智能机器人系统（使用视觉检查的自动路径规划）。研究问题还分为以下测试特定问题：1）缺陷检测，2）材料表征和3）测试声明的可靠性，主要关注塑料，复合材料和混合部件等材料。该设备由斯图加特大学的四个主要用户使用，塑料技术研究所，飞机制造研究所，材料测试研究所和智能传感器技术和理论电气工程研究所用于合作研究目的，并计划进一步与外部合作伙伴进行研究合作。