Abstract
A new hair sensor for multi-physical signal measurements, including acceleration, angular velocity and air flow, is presented in this paper. The entire structure consists of a hair post, a torsional frame and a resonant signal transducer. The hair post is utilized to sense and deliver the physical signals of the acceleration and the air flow rate. The physical signals are converted into frequency signals by the resonant transducer. The structure is optimized through finite element analysis. The simulation results demonstrate that the hair sensor has a frequency of 240 Hz in the first mode for the acceleration or the air flow sense, 3115 Hz in the third and fourth modes for the resonant conversion, and 3467 Hz in the fifth and sixth modes for the angular velocity transformation, respectively. All the above frequencies present in a reasonable modal distribution and are separated from interference modes. The input-output analysis of the new hair sensor demonstrates that the scale factor of the acceleration is 12.35 Hz/g, the scale factor of the angular velocity is 0.404 nm/deg/s and the sensitivity of the air flow is 1.075 Hz/(m/s)2, which verifies the multifunction sensitive characteristics of the hair sensor. Besides, the structural optimization of the hair post is used to improve the sensitivity of the air flow rate and the acceleration. The analysis results illustrate that the hollow circular hair post can increase the sensitivity of the air flow and the II-shape hair post can increase the sensitivity of the acceleration. Moreover, the thermal analysis confirms the scheme of the frequency difference for the resonant transducer can prominently eliminate the temperature influences on the measurement accuracy. The air flow analysis indicates that the surface area increase of hair post is significantly beneficial for the efficiency improvement of the signal transmission. In summary, the structure of the new hair sensor is proved to be feasible by comprehensive simulation and analysis.
Highlights
Micro-autonomous systems (MAS) that are autonomous, multifunctional, collaborative ensembles of agile, mobile microsystems are developed to enhance tactical situational awareness in urban and complex terrains for small unit operations
The entire structure consists of a hair post, a torsional frame and a resonant signal transducer
The simulation results of the hair sensor is implemented by the finite element method
Summary
Micro-autonomous systems (MAS) that are autonomous, multifunctional, collaborative ensembles of agile, mobile microsystems are developed to enhance tactical situational awareness in urban and complex terrains for small unit operations. References [4,5] developed a hair sensor with a micro-hydraulic amplification system and a single capacitance signal transducer for air flow measurement. Most vehicle currently developed hair sensors have some significant sensors have some significant disadvantages, includinglarger relatively simple larger volume disadvantages, including relatively simple functions, volume andfunctions, lower sensitivity in the and lower sensitivity in the signal transducer, which difficult to future signal transducer, which makes it difficult to meet themakes futureitdemands of meet. This presents the hair design and for analysis of a new hair sensor for multi-physical signal theMAS. Performance analysis; remarks areconcluding given in the are lastfinally section
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