【作者】 甄玲；

【导师】 黄海；

【作者基本信息】 浙江大学 ， 仪器科学与工程学， 2002， 硕士

【摘要】 流态化技术广泛地应用于化工、石油、冶金、食品等许多工业领域之中，然而该领域的研究还不够充分，工程应用还有待于进一步研究。 本文在气固流化床中引入互信息理论与非线性动力学理论作为主要的研究工具，在250mm床径气固流化床中进行了大量的实验，选用不同种类、不同粒径的粒子作为固体颗粒，在宽流域的范围内对系统内不同测点的压力信号、压差信号、颗粒浓度信号进行了综合研究。研究从互信息的角度出发，分析计算了六个通道两两之间的信息传输时间序列，得到了传统的单参数检测所不能提取的信息，从新的角度认证了气固流化床系统的非线性本质。混沌理论作为研究的热点，被广泛应用于流态化理论研究中，但是混沌学研究中的几个重要参数的计算在算法的实现上存在诸多问题，计算的结果稳定性较差。而复杂性理论作为非线性动力学中的重要组成部分，在流态化领域的运用还不多见。本文讨论了几种复杂性的具体算法，结果表明其具有算法简便，对数据点长度的要求相对较低等优点。 在互信息与非线性理论的基础上，本文针对不同流型状态下的多通道采样时间序列进行分析，得到了信息传输ITM矩阵。结果表明，该矩阵对于流型状态的变化有明显的指示作用，具有较传统的线性分析或单参数分析所不具有的优点，为流型识别提供了新思路。 从本文的研究来看，对多相流反应器，无论从理论上，还是从隐含信息提取上都应从传统的、平稳的线性概念拓展到非平稳的理论基础上：都应从单一参数的检测分析拓展到多传感器的信息融合。在此基础上，进一步应用模糊信息融合技术，获取多相流反应器时空范围的全面信息，将为工业化应用多相流研究成果提供有力支持。更多还原

【Abstract】 Fluidization has been assumed as an efficient means of contacting different particles in various fields such as chemical, metallurgical and pharmaceutical industries. However, the researches in this field are still not enough, thus the industrial application of the fluidized beds is limited.In this paper, the mutual information theory and non-linear hydrodynamic theory are mainly used in our studies. Based on a large amount of experimental data, different signals of six channels are analyzed together at wide operation gas velocities. In the view of mutual information, information transport series between six channels are computed. This provides a new method to confirm the non-linear characteristic of gas-solid fluidized bed. Chaos theory are now widely used in the study of fluidized beds, however, due to many algorithm problems, the stability of the results are still poor. As an important component of non-linear theory, complexity theory is still rarely used into this study. Our stud}’ showed that the arithmetic of complexity parameter is easy to calculate and the demand for the data length is low. These characters are much superior to the chaos parameters.On the basis of mutual information and nonlinear theory, we analyzed the different time serials of six channels at different regimes and got the information transform matrix (ITM). Then we get the mean value of the matrix and call this value as MITM. This parameter can identify the different fluidized regimes and it is superior to the traditional method.In our point of view, the study of fluidized bed should not only depend on the traditional linear analysis or single parameter measurement but also use multi-sensor technique. Based on this paper, further study using fuzzy information fusing theory will get more information from the ftuidized bed and this can help to apply the research results into industry applications.更多还原