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压力是重要的热工参数之一,各种气体、液体的压力测量在生产生活、工业现场、科学实验等领域有着广泛的应用。这里采用STM8S单片机作为主控制单元,提出一种新型数字压力表的设计方法。介绍压阻式压力传感器的测量原理和系统的整体框架,并描述相应的软硬件设计的方法,特别是在软件方面的处理,包括压力采集和标定校准算法。实验结果显示,压力数据显示较为稳定,能够满足基本的精度要求。设计的数字压力表简单,易用,便于携带。 相似文献
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CMOS compatible bulk micromachined silicon piezoresistive accelerometer with low off-axis sensitivity 总被引:1,自引:0,他引:1
S. Kal S. Das D.K. Maurya K. Biswas A. Ravi Sankar S.K. Lahiri 《Microelectronics Journal》2006,37(1):22-30
The CMOS compatible bulk micromachined piezoresistive accelerometer presented in this paper consists of four flexures supporting a proof mass. Four pairs of boron-diffused piezoresistors are located at maximum stress points on the flexures near the proof mass and frame ends. Because of the opposite nature of stress at the two ends, these piezoresistors can be connected to form a Wheatstone bridge such that the off-axis responses are practically cancelled while the on-axis (along perpendicular to proof mass) response is maximized. The device is simulated using CoventorWare. In the fabrication process, dual-doped TMAH solution is used for wet anisotropic etching. The novelty of this etching process is that the bulk micromachining can be performed after aluminum metallization. The etched surface is also smooth. The fabrication is thus CMOS compatible. The accelerometer exhibits good linearity over 0-10 g. 相似文献
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与传统的硅阻型压力传感器、陶瓷型压力传感器相比,石墨烯压力传感器具有测量灵敏度更高、测量范围更广的优点。对几种石墨烯压力传感器的研究进展进行综述。根据制作工艺的不同,将石墨烯压力传感器分为单层型和多层型。根据两大类型,列举最近六种石墨烯压力传感器的基本制作过程和测量范围、检测灵敏度等特性。根据六种石墨烯压力传感器的对比结果,得到单层型与多层型石墨烯压力传感器的不同工作特性及应用环境。针对单层型和多层型石墨烯传感器,分别提出提高性能的可行方案,对此类传感器的实际应用与推广具有一定的指导意义。 相似文献
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Chen Zhang Wen Bin Ye Kui Zhou Hong‐Ye Chen Jia‐Qin Yang Guanglong Ding Xiaoli Chen Ye Zhou Li Zhou Fengjiao Li Su‐Ting Han 《Advanced functional materials》2019,29(20)
Bioinspired artificial haptic neuron system has received much attention in the booming artificial intelligence industry for its broad range of high‐impact applications such as personal healthcare monitoring, electronic skins, and human–machine interfaces. An artificial haptic neuron system is designed by integrating a piezoresistive sensor and a Nafion‐based memristor for the first time in this paper. The piezoresistive sensor serves as a sensory receptor to transform mechanical stimuli into electric signals, and the Nafion‐based memristor serves as the synapse to further process the information. The pyramid‐structured sensor exhibits excellent sensitivity (6.7 × 107 kPa?1 in 1–5 kPa and 3.8 × 105 kPa?1 in 5–50 kPa) and durability (>7000 cycles), while the memristor realizes fundamental synaptic functions under low power consumption (10–200 pJ) and remains stable for over 104 consecutive tests. The integrated system can detect tactile stimuli encoded with temporal information, such as the count, frequency, duration and speed of the external force. As a proof‐of‐concept, English characters recognition with high accuracy can be achieved on the system under a supervised learning method. This work shows promising potential in bioinspired sensing systems owing to the high performance, excellent durability, and simple fabrication procedure. 相似文献