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A Third Generation Robotic Eddy Current System for the Inspection of gas Turbine Engine Components

机译:用于检查燃气轮机组件的第三代机器人涡流系统

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Implementation of damage tolerance requires the characterization ofnondestructive evaluation (NDE) capabilities in terms of the probability ofdetection as a function of flaw size. Quantification of NDE procedures isessential to provide both a confidence level in detection of required flawsizes and in establishing periodic inspection / maintenance events as afunction of part usage. Gas turbine engine components (aircraft engines) arehighly loaded and critical the safe-life / operation of an engine. Ingeneral, detection of small flaws is required to provide the maximum meantime between inspection cycles and thus contribute to most economical engineoperation.Reliable detection of small flaws in engine components has been demonstratedby precision eddy current inspection procedures. The procedures wereimplemented using a precision robotics scanner and various eddy currentprobes and scanning sequences. The eddy current system elements wereintegrated into scanning sequences to provide a quantitative, fullyautomated inspection of critical areas of engine components. The integratedsystem is identified as the RFC (Retirement for Cause) system and has beenextensively applied to the inspection of rotating gas turbine enginecomponents throughout the world.Since the introduction of the system in 1979, additional engine componentsand inspection features have been added to provide support of variousengines and to extend the life of aging components. The most recent systemimprovements have been an improved eddy current instrument, an improvedrobotics controller and added computing and electronic communicationscapabilities. This paper described the retirement for cause systemmanagement principles; the RFC eddy current system development andapplication; and the recent improvements to increase capabilities and reduceboth system cost and system operating costs.
机译:实施损害容忍度需要表征 无损评估(NDE)能力 检测作为缺陷尺寸的函数。 NDE程序的量化是 这对于在检测所需缺陷时提供置信度至关重要 并确定定期检查/维护事件 零件使用的功能。燃气涡轮发动机组件(飞机发动机)是 高负荷并且对发动机的安全寿命/运行至关重要。在 通常,需要检测小缺陷以提供最大的均值 检查周期之间的时间间隔,从而为最经济的发动机做出了贡献 手术。 已经证明可以可靠地检测出发动机部件中的小缺陷 通过精密涡流检查程序。程序是 使用精密机器人扫描仪和各种涡流实现 探针和扫描序列。涡流系统的要素是 集成到扫描序列中以提供定量,完全 自动检查发动机部件的关键区域。整合 系统被识别为RFC(原因退休)系统,并且已经 广泛应用于旋转燃气轮机的检查 世界各地的组件。 自1979年引入该系统以来,增加了发动机组件 并且添加了检查功能以提供各种支持 并延长了部件的寿命。最新系统 改进了涡流仪,改进了涡流仪 机器人控制器以及附加的计算和电子通讯 能力。本文介绍了因果关系退役制度 管理原则; RFC涡流系统的开发和 应用;以及最近的改进以增强功能并减少 系统成本和系统运营成本。

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