【作者】 宋刚；

【导师】 王兢；

【作者基本信息】 大连理工大学 ， 测试计量技术及仪器， 2006， 硕士

【摘要】 复合材料因具有复合效应、协同效应,而使其具有组分材料所不具备的许多优良性能。纳米钛酸钡和有机聚合物QAR都是较好的湿敏材料,将它们通过不同的复合方式(双层、共混)制成复合(材料)膜湿敏元件后,湿敏元件的灵敏度、湿滞、响应-恢复时间、阻抗特性等湿度敏感特性均发生了不同程度的变化,复合膜湿敏元件整体性能得到提升和改善。本论文围绕复合材料(双层、共混)湿敏元件与单一材料湿敏元件的各种对比,突出由复合型湿敏材料制成的电阻式湿敏元件的特点和优势。 湿敏材料(元件)的感湿机理一直是人们研究的热点。本论文利用直流法、交流法、热刺激电流法、分析研究了湿敏材料的感湿机理,借助扫描电子显微镜(SEM)、光电子能谱(XPS)和X射线衍射(XRD)等表征测试分析手段,从感湿膜的微观形貌、结构、化学组分和晶态等材料学角度,探讨研究了湿敏材料的微观结构和化学构成对湿敏特性的影响。 通常,湿度传感器制成后,根据多个实测数据来设计外围处理电路,制成实用的测量湿度的仪器。所以,人们往往注重湿敏材料的制作和设计适合实测数据的外围处理电路。当湿度传感器的数量很多时,实测少量数据并通过数学模拟来代替实测大量数据的方法显得非常必要。本论文通过公式推导和经验总结,提出了电阻式湿敏元件的阻—湿—温三维构成的湿敏特性半经验公式模型。随后,以某一样品的实测数据为依据,利用统计学软件SPSS的多元线性回归方法进行拟合,最后得出与这一样品湿敏特性相对应的具体的拟合式。经验证,拟合数据与原数据符合得很好,表明半经验公式模型是可靠的。更多还原

【Abstract】 Due to the composite effect and synergism effect, the composite materials have a lot of excellent property that the component materials don’t have. Nanocrystalline BaTiO₃ and organic QAR are both good humidity sensing materials. After being made to the composite humidity sensor by different composite methods （bilayer, mixed）, the humidity sensing property such as the sensitivity, humidity hysteresis, response-recovery time, impedance property, have changed in some degree, the entire property of the composite film humidity sensor has been inproved. In this paper, the attention focus on the comparison between the composite material and the single material, in order to show the advantage of the composite humidity sensor.The humidity sensing theory is the importance that people focused on. In this paper, direct current method, alternating current method and thermally stimulated current method are used to analysis the sensing theory of the humidity sensing material. Microstructure and chemical composition of the material are studied by SEM, XPS and XRD methods.Usually, after the made of the humidity sensor, a circuit is built according to the data measured, in order to finish the humidity sensing instrument. People always pay attention on the preparation of sensing material and design of the circuit. When the number of the sensor is large, using little measured to instead of the large numbers of data by mathematical fitting is very important. In this paper, a semi-empirical equation model of the resistance-humidity-temperature property of the humidity sensor is built. Take the measured data of one of the samples, using the multivariant linear regression method of SPSS to fitting, the fitting formula corresponding to the sample was built, the results show that the fitting data tally with the original data, the semi-empirical equation model is correct.更多还原