基于线性极化腐蚀传感器的飞机结构腐蚀监控  

Corrosion Monitoring of Aircraft Structure Based on Linear Polarization Resistance Sensor

作　　者：赵一昭 高鹏飞 刘德峰[3] 李欣[3] 刘马宝[1] Zhao Yizhao;Gao Pengfei;Liu Defeng;Li Xin;Liu Mabao(State Key Laboratory for Strength and Vibration of Mechanical Structures,Xi’an Jiaotong University,Xi’an 710049,China;CRRC Changchun Railway Co.,Ltd.,Changchun 130000,China;AVIC Beijing Changcheng Aeronautical Measurement and Control Technology Research Institute,Beijing 101111,China)

机构地区：[1]西安交通大学机械结构强度与振动国家重点实验室,陕西西安710049 [2]中车长春轨道客车股份有限公司,吉林长春130000 [3]航空工业北京长城航空测控技术研究所,北京101111

出　　处：《航空科学技术》2020年第7期80-87,共8页Aeronautical Science & Technology

基　　金：航空科学基金(20163470003);陕西省重点研发计划(2018ZDCXL-GY-03-01)。

摘　　要：针对现阶段我国在飞机结构腐蚀监控方面手段落后、效率低的现状,开发基于线性极化法的能够实时监测飞机铝合金结构腐蚀速率的微型传感器,并设计加速腐蚀试验对该传感器的有效性进行了验证。同时,开展基于人工神经网络的铝合金结构腐蚀速率预测研究。结果表明,线性极化腐蚀传感器所测腐蚀深度与铝合金试样实测值随腐蚀时间变化趋势相同,其能够有效地对飞机结构腐蚀状况进行实时监测;构建的网络模型在不同环境下预测的腐蚀速率平均误差不到8%,能够有效实现对铝合金结构瞬时腐蚀速率的预测。In order to fix the weakness of domestic aircraft structural corrosion monitoring,the micro-sized linear polarization resistance sensor was developed to monitor the corrosion rates of aluminum alloy structures in real time.Accelerated corrosion experiments were carried out to verify the feasibility of the developed sensors.The results indicated that the corrosion depth measured by sensors had the same trend as that of aluminum alloy samples with time,which showed the sensors can monitor the corrosion rates of aircraft structures in real time effectively.Meanwhile,the prediction model for corrosion rates of aluminum alloys was established based on BP neural network.The established network model can predict the corrosion rates of aluminum alloy structures in different environments with the average error less than 8%.

关 键 词：飞机结构 线性极化 腐蚀速率 实时监测 人工神经网络 

分 类 号：TG174.3[金属学及工艺—金属表面处理]