Weather station on a chip

Huang, Qing‐An; Qin, Ming; Zhang, Zhongping; Zhou, Min-Xin; Gu, Lei; Zhu, Hao; Hu, Desheng; Hu, Zhikun; Xu, Guangqing; Liu, Zutao

doi:10.1109/icsens.2003.1279115

Cited by 11 publications

(1 citation statement)

References 16 publications

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“…Although a vast selection of thermometers exists, there is no simple solution for all applications. For example, the Pt resistor as a typical thermistor is still used in radiosondes for temperature measurement, which cannot satisfy the demand of modern weather monitoring [7]. With the development of MEMS technology, a temperature sensor with a wide temperature range, low cost, high accuracy, low-power dissipation for wide range monitoring is desired.…”

Section: Introductionmentioning

confidence: 99%

A micromachined silicon capacitive temperature sensor for wide temperature range applications

Ma¹,

Huang²,

Qin³

et al. 2010

J. Micromech. Microeng.

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A micromachined capacitive temperature sensor is designed and fabricated based on a multilayer cantilever. The top and bottom layers of the cantilever are Al and Si, respectively, which also serve as electrodes of the sensing capacitor. A composite Si 3 N 4 /SiO 2 layer, a dielectric layer, is sandwiched between the top and bottom electrodes. The cantilever thermal response is due to differences in thermal expansion coefficients for the Al, Si 3 N 4 /SiO 2 and silicon materials. With the effect of strain on the dielectric property as well as the geometry impact on the capacitance, the temperature variation is sensed and translated to an electrical capacitance change. The mechanical characteristics of the sensor are theoretically analyzed with the extension of Timoshenko's bilayer strip model. The sensor was fabricated with the silicon-on-insulator substrate. Experimental results show that the sensor provides a sensitivity of 7 fF • C −1 in the −70 to 100 • C range. This makes it suitable to serve as a temperature sensor for low power and wide temperature range applications.

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Section: Introductionmentioning

confidence: 99%