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A novel capacitance sensor for fireside corrosion measurement

机译:新型电容传感器,用于炉边腐蚀测量

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摘要

Fireside corrosion in coal-fired power plants is a leading mechanism for boiler tube failures. Online monitoring of fireside corrosion can provide timely data to plant operators for mitigation implementation. This paper presents a novel sensor concept for measuring metal loss based on electrical capacitance. Laboratory-scale experiments demonstrated the feasibility of design, fabrication, and operation of the sensor. The fabrication of the prototype sensor involved sputtering deposition of a thin metal coating with varying thickness on a ceramic substrate. Corrosion metal loss resulted in a proportional decrease in electrical capacitance of the sensor. Laboratory experiments using a muffle furnace with an oxidation environment demonstrated that low carbon steel coatings on ceramic substrate survived cyclic temperatures over 500 °C. Measured corrosion rates of sputtered coating in air had an Arrhenius exponential dependence on temperature, with metal thickness loss ranging from 2.0 nm/h at 200°C to 2.0μm/h2.0 μm/h at 400°C. Uncertainty analysis indicated that the overall measurement uncertainty was within 4%. The experimental system showed high signal-to-noise ratio, and the sensor could measure submicrometer metal thickness changes. The laboratory experiments demonstrated that the sensor concept and measurement system are capable of short term, online monitoring of metal loss, indicating the potential for the sensor to be used for fireside corrosion monitoring and other metal loss measurement.
机译:燃煤电厂的炉膛腐蚀是锅炉管故障的主要机制。在线监测炉边腐蚀可以及时为工厂操作员提供数据,以实施缓解措施。本文提出了一种基于电容来测量金属损耗的新型传感器概念。实验室规模的实验证明了传感器的设计,制造和操作的可行性。原型传感器的制造涉及在陶瓷基板上溅射沉积厚度可变的薄金属涂层。腐蚀金属损失导致传感器的电容成比例下降。使用具有氧化环境的马弗炉进行的实验室实验表明,陶瓷基材上的低碳钢涂层在500°C以上的循环温度下仍能幸存。测得的溅射镀膜在空气中的腐蚀速率与温度呈Arrhenius指数关系,金属厚度损失范围从200°C下的2.0 nm / h到400°C下的2.0μm/h2.0μm/ h。不确定度分析表明,总体测量不确定度在4%以内。实验系统显示出很高的信噪比,并且传感器可以测量亚微米级金属厚度的变化。实验室实验表明,该传感器的概念和测量系统能够对金属损失进行短期的在线监视,这表明该传感器可用于炉边腐蚀监视和其他金属损失测量。

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    Ban, Heng; Li, Zuoping;

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  • 年度 2009
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