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Information Processing Technology In The Detection Of Gas-solid Flow

Posted on:2005-04-20Degree:MasterType:Thesis
Country:ChinaCandidate:L GeFull Text:PDF
GTID:2208360122492463Subject:Measuring and Testing Technology and Instruments
Abstract/Summary:PDF Full Text Request
Gas-solid two-phase flow is existed widely in multiphase flow system, for example, desert sand in nature, fuel transportation in field of chemical industry, metallurgy, energy sources and foodstuff, and so on, as well as pneumatic conveying and dust treatment of materiel in bulk (i.e. sands, corn and plastic granula etc.). In addition, sulfureted bed, whirlwind dust-exhaustion, sedimentation room and filtration process are involved with gas-solid two-phase flow. It is very difficult to measure some process parameters during two-phase flowing, such as flow status, concentration, flux, particle size and so forth, because the flowing rules of gas-solid two-phase flow is more complex than that of single-phase flow, together with interphase effect between every phase. However, to know well complex phenomena in gas-solid two-phase flow system, to predict, design and control industrial process, it is necessary to solve the difficulties in measurement of gas-solid two-phase flow. At present, many developed countries such as England, America, Germany, Japan, Norway and Australia are all devoted to correlative research. Our country, China, is also pay much attention to it in the eighth five-year scientific research programming, the ninth five-year programming and '863' high-tech plan. And the measure technology of two-phase flow has achieved great development, but its level still doesn't satisfy the requirements of industrial application. So the measure technology of gas-solid two-phase flow yet belongs to the research field urgently waiting for developingBased on the research achievements obtained by our task team recently, this dissertation further employed information process technology into parameter measurement of gas-solid two-phase flow, where the neural network technology was used to recognize the flow regime and the data fusion technology to measure the flow velocity of solid-phase particles, and the simulation research was worked. The main work is described as follow:1. Summarizing and arranging the achievements obtained by the task team before.2. Collecting and reading the correlative reference documents all over the world; based on analyzing the performances and characteristics of neural network, employing the learning vector quantification neural network to recognize the flow regime of gas-solid two-phase flow, and carrying out simulation research.3. Combining the data fusion technology with the cross-correlation technology for measuring velocity to measure the mean velocity of solid-phase particles in section, including the cross-correlation analysis of data from every sensor and that of data from all sensors after processed by fusion technology.
Keywords/Search Tags:Gas-solid two-phase flow, Optical tomography, Neural network, Flow regime recognition, Data fusion, Cross-correlation analysis, Flow velocity
PDF Full Text Request
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