第2卷 电导型传感器 下册-化学传感器:仿真与建模-影印版
- ISBN:9787560349039
- 装帧:一般胶版纸
- 册数:暂无
- 重量:暂无
- 开本:16开
- 页数:486
- 出版时间:2015-01-01
- 条形码:9787560349039 ; 978-7-5603-4903-9
本书特色
笔者给出了一种新型的球形偶板子电场传感器,并对其进行了仿真建模和分析。文中分别在时、频域研究了负载阻抗变化和传感器尺寸变化对其测试特性的影响,并直观地给出了传感器输出电压的波形失真情况及其频率特性。结果显示:传感器低频特性受其负载阻抗影响显著,而其高频特性受传感器尺寸影响显著。分析结果对球形偶极子电场传感器研制中的参数优化和选择具有一定的参考价值。
内容简介
This series, Chemical Sensors: Simulation and Modeling, is the perfect complement to Momentum Press's six-volume reference series, Chemical Sensors: Fundamentals of Sensing Materials and Chemical Sensors: Comprehensive Sensor Technologies, which present detailed information about materials, technologies, fabrication, and applications of various devices for chemical sensing. Chenucal.sensors are integral to the automation of myriad industrial processes and every-day monitoring of such activities as public safety, engine performance, medical therapeutics, and many more. Despite the large number of chemical sensors already on the market, selection and design of a suitable sensor for a new application is a difficult task for the design engineer. Careful selection of the sensing material, sensor platform, technology of synthesis or deposition of sensitive materials, appropriate coatings and membranes, and the sampling system is very important, because those decisions can determine the specificity, sensitivity, response time, and stability of the final device. Selective functionalization of the sensor is also critical to achieving the required operating parameters. Therefore, in designing a chemical sensor, developers have to answer the enormous questions related to properties of sensing materials and their functioning in various environments. This four-volume com-prehensive reference work analyzes approaches used for computer simulation and modeling in various fields of chemical sensing and discusses various phenomena important for chemical. sensing, such as surface diffusion, adsorption, surface reactions, sintering, conductivity, mass transport, inter phase interactions, etc. In these volumes it is shown that theoretical modeling and simulation of the processes, being a basic for chemical sensor operation, can provide considerableassistance in choosing both optimal materials and optimal configurations of sensing elements for use in chemical sensors. The theoretical simulation and modeling of sensing material behavior during interactions with gases and liquid surroundings can promote understanding of the nature of effects responsible for high effectiveness of chemical sensors operation as well. Nevertheless, we have tounder stand that only very a few aspects of chemistry can be computed exactly.
目录
about the editor
contributors
7 experimental investigatiox and modeling of gas-sensing effectin mixed metal oxide nanocomposites
1 introduction
2 types of mixed metal oxides
3 synthesis of metal oxide nanocomposites
4 charge transfer processes and conductivity
5 conductivity mechanism
6 sensor properties
7 mechanism of sensor effect
7.1 sensors based on single nanofibers
7.2 polycrystalline sensors
8 modeling of the sensory effect for reduced gases
8.1 qualitative discussion of the sensory mechanism
8.2 equilibrium electronic characteristics of sno2
8.3 sensor response
9 conclusions
acknowledgment
references
8 the influence of water vapor on the gas-sensing phenomenonof tin dioxide-based gas sensors
1 introduction
2 direct water effects on tin dioxide-based gas sensors
2.1 undoped sno2
2.2 doped sno2
3 indirect water effects on tin dioxide-based gas sensors
3.1 reducing gases
3.2 oxidizing gases
4 phenomenological model
5 conclusions
acknowledgments
references
9 computational design of chemical nanosensors:transition metal-doped single-walled carbon nanotubes
1 introduction
2 tm-doped swnts as nanosensors
3 density functional theory
4 kinetic modeling
5 nonequilibrium green's function methodology
5.1 divacancy ii
5.2 divacancy i
5.3 monovacancy
5.4 target and background molecules
6 sensing property
7 conclusions
acknowledgments
references
……
10 al-doped graphene for ultrasenstive gas detection
11 physics-based modeling of sno2 gas sensors with field-effect transistor structure
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