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基于FBG传感网络的螺旋桨变形重构研究

Research on Deformation Reconstruction of Propeller Based on FBG Sensor Network
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摘要 为了减小螺旋桨噪声,推导了一种适用于螺旋桨的逆向有限元变形重构算法,利用ANSYS进行了仿真验证;制作了螺旋桨实验件,研究了一种基于分布式FBG传感技术的测量方法,对变形重构方法进行了实验验证,结果表明:螺旋桨的重构变形与理论变形的误差均在11%以内,FBG传感网络监测螺旋桨变形具有可行性。 Monitoring the deformation of the propeller under different working conditions in real-time,can help to optimize the geometric design thus effectively reducing the propeller noise.In this paper,an inverse finite element method(IFEM)for propeller has been proposed.Numerical simulation based on this IFEM has been built up verified using ANSYS.The propeller experimental part is fabricated.A measuring method based on distributed FBG sensing technology is studied.The experimental results show that the error of the reconstruction deformation and theoretical deformation of the propeller is kept within 11%.Therefore,it is feasible to monitor the propeller deformation by the FBG sensor network.
作者 丁国平 张懿轩 严小雨 卢忠银 DING Guoping;ZHUANG Yixuan;YAN Xiaoyu;LU Zhongyin(School of Mechanical and Electronic Engineering,Wuhan University of Technology,Wuhan 430070,China)
出处 《数字制造科学》 2020年第3期164-168,共5页
基金 国家自然科学基金资助项目(51775400)
关键词 FBG传感 螺旋桨 变形重构 逆向有限元法 FBG sensing propeller deformation reconstruction inverse finite element method
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