title: Design and experimentation with sandwich microstructure for catalytic combustion-type gas sensors.
abstract: The traditional handmade catalytic combustion gas sensor has some problems such as a pairing difficulty, poor consistency, high power consumption, and not being interchangeable. To address these issues, integrated double catalytic combustion of alcohol gas sensor was designed and manufactured using silicon micro-electro-mechanical systems (MEMS) technology. The temperature field of the sensor is analyzed using the ANSYS finite element analysis method. In this work, the silicon oxide-PECVD-oxidation technique is used to manufacture a SiO2-Si3N2-SiO2 microstructure carrier with a sandwich structure, while wet etching silicon is used to form a beam structure to reduce the heat consumption. Thin-film technology is adopted to manufacture the platinum-film sensitive resistance. Nano Al2O3-ZrO-ThO is coated to format the sensor carrier, and the sensitive unit is dipped in a Pt-Pd catalyst solution to form the catalytic sensitive bridge arm. Meanwhile the uncoated catalyst carrier is considered as the reference unit, realizing an integrated chip based on a micro double bridge and forming sensors. The lines of the Pt thin-film resistance have been observed with an electronic microscope. The compensation of the sensitive material carriers and compensation materials have been analyzed using an energy spectrum. The results show that the alcohol sensor can detect a volume fraction between 0 and 4,500 × 10(-6) and has good linear output characteristic. The temperature ranges from -20 to +40 °C. The humidity ranges from 30% to 85% RH. The zero output of the sensor is less than ±2.0% FS. The power consumption is ≤0.2 W, and both the response and recovery time are approximately 20 s.
authors.affiliation: Intelligent Machine Institute, Harbin University of Science and Technology, Xuefu Road No. 52, Nangang District, Harbin 150080, China. gujt9@126.com.
authors.forename: Jun-Tao
authors.initials: JT
authors.lastname: Gu
authors.affiliation: Intelligent Machine Institute, Harbin University of Science and Technology, Xuefu Road No. 52, Nangang District, Harbin 150080, China. zhangyd@hrbust.edu.cn.
authors.forename: Yong-De
authors.initials: YD
authors.lastname: Zhang
authors.affiliation: Intelligent Machine Institute, Harbin University of Science and Technology, Xuefu Road No. 52, Nangang District, Harbin 150080, China. jiangjingang@hrbust.edu.cn.
authors.forename: Jin-Gang
authors.initials: JG
authors.lastname: Jiang