期刊论文详细信息
ROBOMECH Journal
Miniaturized load sensor using quartz crystal resonator constructed through microfabrication and bonding
Fumihito Arai1  Kousuke Nogawa1  Yuichi Murozaki1 
[1] Department of Micro-Nano Systems Engineering, Nagoya University, Nagoya, Japan
关键词: Quartz crystal resonator;    Load sensor;    Microfabrication;   
DOI  :  10.1186/s40648-014-0003-x
学科分类:人工智能
来源: Springer
PDF
【 摘 要 】

Highly sensitive, wide-measurement-range compact load sensors are desirable for various applications, including measurement of biosignals, manipulation and stiffness measurement of cells, and so on. Conventional load sensors are highly sensitive but have relatively small measurement ranges. A load sensor using an AT-cut quartz crystal resonator (QCR) has superior characteristics such as, high accuracy, improved strength under compressive stress, long-term stability, and compact size. However, a retention mechanism is required to firmly support the QCR because the QCR is easily broken by stretching and bending motions. Conventional machining processes are not suitable for further miniaturization of the sensor. Even if the retention mechanism were miniaturized, the assembly process is complicated. In this paper, we propose a novel design and fabrication method for a load sensor using the QCR. Using microfabrication and bonding, the assembly process was simplified. We demonstrate the feasibility of a miniaturized QCR load sensor whose volume is 24.6 mm3 (width is 4 mm, height is 5.6 mm, depth is 1.1 mm). The experimental results showed that the nonlinearity and hysteresis were 0.94% F.S. and 1.68% F.S., respectively. Additionally, sensitivity of the sensor was 1458 Hz/N. We improved the sensitivity and stability of the sensor; the fluctuation was 0.04 mN over a period of 1 min. Moreover, the effects of the temperature change were evaluated. The temperature and the sensor output were linear within the range of 20°C–50°C.

【 授权许可】

CC BY   

【 预 览 】
附件列表
Files Size Format View
RO201901225711221ZK.pdf 1638KB PDF download
  文献评价指标  
  下载次数:11次 浏览次数:11次