| China is a country that treats coal as the main energy source in the world, and the coal emissions is the largest. Acid rain pollution and particulate matter pollution caused by coal have became important factors that control the development of China’s economy and social constraints. Low cost coal-fired flue gas desulfurization technology that suits national conditions should be vigorously developed on the base of economy growing, and researching desulphurization and dust removal technology will be a hotspot of haze remediation of smoke pollution governance. This paper studied the key component that provides the power transmission in the desulphurization dust system, which is called the centrifugal fan and its performance directly affects the desulphurization dust process system. There is no continuous controllable, efficient desulphurization in the current market, so it is meaningful to study the efficiency and environmental protection of centrifugal fan research. This paper studied the desulphurization dust fans, used the method that combines numerical flow simulations and optimization experiments. Analyzed the influence of impeller structural parameters on the performance of desulphurization dust fan based on the flow field. The influence law of impeller structural parameters on the fan performance was analyzed based on the range. Optimized the structural parameters by complex and genetic algorithm and find the optimal combination of structural parameters. Deduced the performance prediction model by data regression and the curve between structural parameters and efficiency. It provides reference for future design and performance prediction of fans.The main contents of this article are as follows:The first chapter describes the purpose, meaning and main content of this paper, status and future development trends of numerical simulation and optimization of centrifugal fans.The second chapter designed the structure according to the given conditions, determined the structure and performance indicators, got the fan structure parameters which are used for modeling, finally CAD drawings were completed and got the fan-dimensional map.The third chapter sculpted every components of desulphurization centrifugal fans three-dimensionally, build the whole desulfurization dust flow model. Meshed the calculation area by GAMBIT, which is a pre-processing software in FLUENT. Used turbulence model to determine the boundary conditions for simulation, analyzed of the results deeply.The fourth chapter built the optimization model of desulphurization dust fan based on flow field analysis, designed the orthogonal experiment, selected factors and evaluation that affects fan performance, got the influence trends of each factor on evaluations.The fifth chapter built the training samples through orthogonal test, optimized fan noise and efficiency multi-objective by complex and genetic algorithms, got a new impeller structure parameters combinations, identified the best group through a comparative between evaluation indicators, and the fan optimized was numerical simulated.The sixth chapter got the curve of structural parameters and performance based on the inner flow analysis of fan, The performance prediction model between flow, structural parameters and efficiency was deduced by data regression, which provides reference for future design and performance prediction of fans. |
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