在Inconel 718衬底上制备超灵敏和超快速响应时间的NiCr薄膜应变莲座

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Junwei Yin;Qi Cui;Hao Chen;Xin Li;Xingshu Wang;Yunxian Cui;Fengyuan Ma;Jinghao Yang
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引用次数: 0

摘要

航空发动机的涡轮叶片受到高温应力场的影响,容易产生疲劳裂纹,从而影响发动机的性能。快速、精确的应变监测是评估材料性能劣化和确定部件寿命的关键。现有的应变测量方法以非接触为主,在实际应用中存在一定的局限性。本文提出了一种利用两轴重叠(0°/90°)技术设计的NiCr薄膜应变花环动态应变测量系统。该应变传感器采用直流(dc)脉冲磁控溅射和热退火策略制备的0°/90°NiCr薄膜。采用Inconel 718等强度梁作为试验试件,通过有限元分析对敏感网格设计进行优化。对单层Al2O3、单层SiO2、双层SiO2/Al2O3和四层SiO2/Al2O3/SiO2/Al2O3复合薄膜的高温绝缘性能进行了对比研究。在Inconel 718等强度梁上依次沉积了四层复合绝缘膜、0°/90°NiCr薄膜敏感栅格和Al2O3保护膜。退火后,电阻温度系数(TCR)从353.038 ppm/°C降低到277.906 ppm/°C,降低了21.28%,规系数(GF)从1.945提高到1.97,提高了1.29%,迟滞误差降低到0.817%FS。应变峰值以毫秒级的响应和恢复时间精确跟踪负载变化,表现出优异的动态响应。所提出的薄膜应变传感器为航空发动机涡轮叶片等关键部件的高精度、快速应变测量提供了有效的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ultrasensitive and Superfast Response Time NiCr Thin-Film Strain Rosettes Fabricated on Inconel 718 Substrates
The turbine blades in aeroengines are subjected to high-temperature stress fields, making them vulnerable to fatigue cracks, which can undermine engine performance. Rapid and precise strain monitoring is crucial for evaluating material properties’ deterioration and determining the lifespan of components. Existing strain measurement methods, predominantly noncontact-based, face certain limitations in practical applications. This article proposes a dynamic strain measurement system designed for NiCr thin-film strain rosettes utilizing a two-axis overlapping (0°/90°) technique. The strain sensor employs 0°/90° NiCr thin film fabricated using direct current (dc) pulsed magnetron sputtering and a thermal annealing strategy. Inconel 718 equal-strength beams were utilized as test specimens and finite element analysis optimized the sensitive grid design. A comparative investigation was conducted into the high-temperature insulating properties of single-layer Al2O3, single-layer SiO2, bilayer SiO2/Al2O3, and four-layer SiO2/Al2O3/SiO2/Al2O3 composite films. The four-layer composite insulating films, patterned 0°/90° NiCr thin-film sensitive grids, and Al2O3 protective films were sequentially deposited on Inconel 718 equal-strength beams. Post-annealing, the temperature coefficient of resistance (TCR) decreased by 21.28% from 353.038 to 277.906 ppm/°C, the gauge factor (GF) improved by 1.29% from 1.945 to 1.97, and the hysteresis error was reduced to 0.817%FS. The strain peak accurately tracked load variations with millisecond-level response and recovery times, demonstrating excellent dynamic response. The proposed thin-film strain sensors provide an effective solution for high-precision and rapid strain measurements for critical components such as aeroengine turbine blades.
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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