摘要
设计并研究了一种量程可调式磁性液体微压差传感器。该传感器外壳为玻璃管,管内中间放置一个圆柱形永磁体,永磁体两端吸附磁性液体。两个环形永磁体固定在玻璃管内的两端,为中间永磁体提供回复力。转换元件采用霍尔元件,通过滑动支架可以改变霍尔元件的测量位置,进而实现多量程测量。对传感器各项性能参数进行了理论推导和有限元仿真分析,并基于Pareto最优解对各项参数进行了优化,结果表明优化后传感器的灵敏度和量程有所增大,而尺寸减小。对传感器在三种量程下的输出电压与待测压强关系进行了仿真和实验分析,求得传感器的灵敏度,最后对传感器的动态性能进行理论和仿真分析,结果表明优化后传感器的动态性能提升,验证了本设计的可行性。
An adjustable range magnetic fluid micro-pressure difference sensor was designed and researched. The shell of the sensor was a glass pipe,in which a cylindrical permanent magnet was placed in the middle. The magnetic fluid was adsorbed on both ends of the permanent magnet. Two ring magnets were fixed on both ends of the pipe to provide restoring force to the middle permanent magnet. Hall element was used as transformation element and its measuring position could be changed by sliding the support,and the multi range measurement could be realized. The performance parameters of the sensor are derived,and the finite element simulation analysis is carried out. All parameters were optimized based on the Pareto optimization solution. The results show that the sensitivity and range of the sensor are increased,while the size is decreased after optimization. The relationship between the output voltage and the measured pressure of the sensor under three different ranges was analyzed by simulation and experiment and sensitivity of the sensor was carried out. Finally,the dynamic performance of the sensor is analyzed theoretically and simulated. The result shows that the dynamic performance of the sensor is improved after optimization,which verifies the feasibility of the design.
作者
陈丽斐
杨晓锐
郭兵
杨文荣
李德才
CHEN Lifei1, YANG Xiaorui1, GUO Bing1, YANG Wenrong1, L1 Decai2(1.Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability , Hebei University of Technology , Tianjin 300130, China ; 2.Department of Mechanical Engineering , Tsinghua Lniversity , Beijing 100084 , China)
出处
《燕山大学学报》
CAS
北大核心
2018年第2期151-158,共8页
Journal of Yanshan University
基金
河北省自然科学基金资助项目(E2015202241)
关键词
磁性液体
微压差传感器
耐压能力
PARETO最优解
magnetic fluid
micro-pressure difference sensor
anti-pressure capability
Pareto optimization solution
