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含金属芯压电纤维智能夹层制备与性能研究
引用本文:严春霞,裘进浩,罗俊,陈海荣,杜建周.含金属芯压电纤维智能夹层制备与性能研究[J].压电与声光,2012,34(3):429-433.
作者姓名:严春霞  裘进浩  罗俊  陈海荣  杜建周
作者单位:南京航空航天大学机械结构力学及控制国家重点实验室,江苏南京,210016
基金项目:国家自然科学基金资助项目,长江学者创新团队基金资助项目,江苏省自然科学基金资助项目,江苏高校优势学科建设工程基金资助项目,江苏省普通高校研究生科研创新计划基金资助项目,南航博士学位论文创新与创优基金资助项目,南航基本科研业务费专项科研基金资助项目
摘    要:基于工程实用性的需要,制备了含金属芯压电陶瓷纤维(MPF)智能夹层并研究了其传感性能。首先设计了融合柔性电路板、MPF元件与智能夹层等先进技术于一体的分布式传感器——MPF智能夹层,并制作了实物样品。通过对理论模型的简化及求解,建立了MPF智能夹层的传感性能表征方法。最后,为了避免常规标定方法带来的结构损伤,提出了自激励标定法,并与常规标定结果对比,最大偏差仅为3.6%。结果表明,自激励标定法准确、可靠,该智能夹层具有优良的传感性能,其传感系数与载荷无关,与理论模型一致。

关 键 词:压电纤维  智能夹层  制作工艺  传感  标定

Study on Preparation and Performance of Metal core Piezoelectric Fiber SMART Layer
YAN Chunxi,QIU Jinhao,LUO Jun,CHEN Hairong and DU Jianzhou.Study on Preparation and Performance of Metal core Piezoelectric Fiber SMART Layer[J].Piezoelectrics & Acoustooptics,2012,34(3):429-433.
Authors:YAN Chunxi  QIU Jinhao  LUO Jun  CHEN Hairong and DU Jianzhou
Affiliation:(State Key Lab.of Mechanics and Control of Mechanical Structures,Nanjing University of Aeronautics and Astronautics, Nanjing 210016,China)
Abstract:A type of metal-core piezoelectric fiber(MPF) SMART layer has been fabricated and its sensing performance has been studied according to the needs of the practical engineering.Firstly,a distributed sensor——MPF SMART layer which integrated into the flexible circuit board(FCB),MPF component and smart layer has been designed and a sample was fabricated.Secondly,a theoretical model was simplified and a characterization procedure for MPF SMART layer was obtained.At last,a self-motivated calibration method for MPF SMART layer was proposed in order to avoid structural damage caused by the conventional method.Comparing with the conventional method,the maximum deviation of 3.6% was obtained.The results revealed that the self-motivated calibration method was accurate and reliable.The MPF SMART layer has excellent sensing performance.Its sensor factor is independent with any load,and that is consistent with the theoretical one.
Keywords:piezoelectric fiber  SMART layer  manufacturing process  sensing  calibration
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