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通过有限元建模和红外成像表征对金属氧化物气体传感器进行封装设计热优化

Package Design Thermal Optimization for Metal-Oxide Gas Sensors by Finite Element Modeling and Infra-Red Imaging Characterization.

作者信息

Stoukatch Serguei, Dupont Francois, Laurent Philippe, Redouté Jean-Michel

机构信息

Microsys Laboratory, Department of Electrical Engineering and Computer Science (Institut Montefiore), University of Liège, 4000 Liège, Belgium.

出版信息

Materials (Basel). 2023 Sep 14;16(18):6202. doi: 10.3390/ma16186202.

DOI:10.3390/ma16186202
PMID:37763479
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10532496/
Abstract

We designed a 3D geometrical model of a metal-oxide gas sensor and its custom packaging and used it in finite element modeling (FEM) analysis for obtaining temperature and heat flux distribution. The 3D computer simulation, performed with GetDP software (version 3.5.0, 13 May 2022), accurately predicted the temperature distribution variation across the entire assembly. Knowing the temperature variation and the location of the hot spots allowed us to select the best electrical interconnect method and to choose the optimal materials combination and optimal geometry. The thermal modeling also confirmed the need to use a low thermal conductivity material to insulate the MOX sensor since the latter is heated to its operational temperature of 250 °C. For that purpose, we used the in-house formulated xerogel-epoxy composite of thermal conductivity of 0.108 W m K, which is at least 30% less compared to the best-in-class among commercially available materials. Based on the 3D FEM outputs, we designed, assembled, and characterized a fully functional packaged MOX gas sensor in several configurations. We measured the temperature distribution on all parts of the MOX gas sensor assembly using a thermal imaging infrared (IR) microscope. The results of 3D FEM are in good agreement with the temperature distribution obtained by the non-contact IR thermal characterization.

摘要

我们设计了一种金属氧化物气体传感器及其定制封装的三维几何模型,并将其用于有限元建模(FEM)分析,以获取温度和热通量分布。使用GetDP软件(版本3.5.0,2022年5月13日)进行的三维计算机模拟准确预测了整个组件的温度分布变化。了解温度变化和热点位置使我们能够选择最佳的电气互连方法,并选择最佳的材料组合和最佳几何形状。热建模还证实了需要使用低导热率材料来隔离MOX传感器,因为后者被加热到其250°C的工作温度。为此,我们使用了内部配制的热导率为0.108W m K的气凝胶-环氧树脂复合材料,与市售材料中同类最佳材料相比,其导热率至少低30%。基于三维有限元法的输出结果,我们设计、组装并表征了几种配置的全功能封装MOX气体传感器。我们使用热成像红外(IR)显微镜测量了MOX气体传感器组件所有部分的温度分布。三维有限元法的结果与通过非接触红外热表征获得的温度分布结果吻合良好。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bad3/10532496/3e353a4157e8/materials-16-06202-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bad3/10532496/09f260f155f5/materials-16-06202-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bad3/10532496/1361494c1a83/materials-16-06202-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bad3/10532496/9781a8d24706/materials-16-06202-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bad3/10532496/c1e2b8ec0a80/materials-16-06202-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bad3/10532496/575b2862341a/materials-16-06202-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bad3/10532496/3e353a4157e8/materials-16-06202-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bad3/10532496/09f260f155f5/materials-16-06202-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bad3/10532496/1361494c1a83/materials-16-06202-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bad3/10532496/9781a8d24706/materials-16-06202-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bad3/10532496/c1e2b8ec0a80/materials-16-06202-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bad3/10532496/575b2862341a/materials-16-06202-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bad3/10532496/3e353a4157e8/materials-16-06202-g006.jpg

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