Automated Non Destructive Testing for the Aerospace Industry

航空航天工业的自动化无损检测

• 批准号: 395920-2009
• 负责人: Birglen, Lionel
• 金额: $ 6.41万
• 依托单位: École Polytechnique de Montréal
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2010
• 资助国家: 加拿大
• 起止时间: 2010-01-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=467277
• 关键词: Automated; Non; Destructive; Testing; Aerospace

The aim of this project is to automate non-destructive testing (NDT) systems used in the aerospace industry so as to ease inspection procedures as well as to enhance systems sensitivity, reliability and repeatability. Quality certification of aeronautical parts in production and evaluation of defects created on these parts in service are critical tasks frequently relying on NDT. Currently, these tasks are, performed by human inspectors whose diversified experience may lead to variation in results interpretation. In addition, manpower assigned to such tasks results in significant recurrent costs and is time consuming. L-3 MAS and PWC, the industrial partners involved in this project,have identified two common methods that wouid benefit from automation: Fluorescent Penetrant Inspection (FPI) and Eddy Current Testing (ECT). A standard robotic system will be used to handle the probe associated with each technique. Based on data provided by a 3D laser system and using CAD files if available, an initial scanning'path will be generated. In case CAD files are not available or not reliable (particularly for in-service or modified components), an initial or largest envelope volume will be used instead. Data fusion algorithms will be used to build a defect map of the inspected sllrface and to refine the scanning path in subsequent passes. Firially, an intelligent expert system will provide the user with a decision on whether a defect is present or not based on the interpretation of the signals froin the probes., The final result of this project will be a functional small-scale robotic NDT inspection workcell serving as a benchmark for comparison to human inspectors. Additionally, it is proposed to evaluate novel NDT schemes such as Infrared Thermography. This novel scheme allows to collect thermal infrared signatures from induced Eddy currents.

该项目的目的是使航空航天工业中使用的无损检测（NDT）系统自动化，以简化检测程序，并提高系统的灵敏度、可靠性和可重复性。生产中的航空零件的质量认证和这些零件在使用中产生的缺陷的评估是经常依赖于NDT的关键任务。目前，这些任务由人类检查员执行，其多样化的经验可能导致结果解释的变化。此外，分配人力执行这些任务会造成大量经常性费用，而且很费时间。参与该项目的工业合作伙伴L-3 MAS和PWC已经确定了两种受益于自动化的常用方法：荧光渗透检测（FPI）和涡流检测（ECT）。标准机器人系统将用于处理与每种技术相关的探针。基于3D激光系统提供的数据并使用CAD文件（如果可用），将生成初始扫描路径。如果CAD文件不可用或不可靠（特别是对于使用中或修改后的组件），则将使用初始或最大包络体积。数据融合算法将被用于建立被检测表面的缺陷图，并在随后的扫描中细化扫描路径。最后，智能专家系统将根据对来自探头的信号的解释，为用户提供关于是否存在缺陷的决定。该项目的最终结果将是一个功能性的小型机器人NDT检查工作单元，作为与人类检查员进行比较的基准。此外，建议评估新的无损检测方案，如红外热成像。这种新的方案允许收集热红外签名从感应涡流。