Design optimization of a high-sensitive absolute micro-pressure sensor. Issue 3 (10th June 2014)

• Record Type: Journal Article
• Authors: Yu, Zhongliang; Zhao, Yulong; Li, Lili; Li, Cun; Meng, Xiawei; Tian, Bian
• Is Part Of: Sensor review. Volume 34:Issue 3(2014)
• Page Start: 312
• Page End: 318
• Publication Date: 2014-06-10
• Subjects: MEMS -- Piezoresistive -- Pressrue -- Sensor; Sensor systems -- Periodicals; Detectors -- Industrial applications -- Periodicals; Engineering instruments -- Periodicals; 681.2
• DOI: 10.1108/SR-09-2013-732
• Languages: English
• ISSNs: 0260-2288

Abstract

Abstract : Purpose: – The purpose of this study is to develop a piezoresistive absolute micro-pressure sensor for altimetry. For this application, both high sensitivity and high overload resistance are required. To develop a piezoresistive absolute micro-pressure sensor for altimetry, both high sensitivity and high-overload resistance are required. The structure design and optimization are critical for achieving the purpose. Besides, the study of dynamic performances is important for providing a solution to improve the accuracy under vibration environments. Design/methodology/approach: – An improved structure is studied through incorporating sensitive beams into the twin-island-diaphragm structure. Equations about surface stress and deflection of the sensor are established by multivariate fittings based on the ANSYS simulation results. Structure dimensions are determined by MATLAB optimization. The silicon bulk micromachining technology is utilized to fabricate the sensor prototype. The performances under both static and dynamic conditions are tested. Findings: – Compared with flat diaphragm and twin-island-diaphragm structures, the sensor features a relatively high sensitivity with the capacity of suffering atmosphere due to the introduction of sensitive beams and the optimization method used. Originality/value: – An improved sensor prototype is raised and optimized for achieving the high sensitivity and the capacity of suffering atmosphere simultaneously. A general optimization method is proposed based on the multivariate fitting results. To simplify the calculation, a method to linearize the nonlinear fitting and optimization problems is presented. Moreover, a differential readout scheme attempting to decrease the dynamic interference is designed.