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基于CFD分析的CQB65-50-160F离心泵的性能预测及优化

发布时间:2018-12-06 21:22
【摘要】:改革开放以来,随着国民经济的迅速发展,能源工业得到长足的发展,我国逐渐成为能源生产和消费大国,机械设备和技术尤其是工业用泵的技术在不断的发展和进步。 在成为能源生产和消费大国的同时,能源和环境问题的日趋严重,低碳经济、节能环保已成为经济发展中的必然要求。目前各个领域对占工业用泵很大比重的离心泵的要求越来越高。CFD技术的应用使得人们在研发和优化离心泵过程中节省了大量的时间和经济成本,有效地提高了项目的产能,同时也在一定程度上解决了能源环境问题,该应用技术已成为新世纪的重要研发方向。本文主要工作和成果如下: 1.在查阅大量文献的基础上,详细综述了计算流体动力学发展现状、离心泵CFD数值模拟研究现状和离心泵优化方法的发展进程。并且还选择了适用于CQB65-50-160F离心泵内流场数值模拟的求解方法与湍流模型。 2.通过三维建模软件Pro/e对CQB65-50-160F离心泵内流场过流区域进行实体建模,利用Fluent前处理软件Gambit对模型进行网格划分。 3.依据选取的求解方法、湍流模型和实际工作情况对Fluent软件进行一系列设置,并完成了离心泵的整机非定常数值模拟。在比较各文献中圆盘摩擦损失公式和容积损失公式的基础上,确定了适用于本文离心泵的损失公式,并对数值模拟结果进行修正得到各工况下扬程、轴功率、效率值。依据修正后所得的各性能参数与试验数据进行比较来分析各工况离心泵内流场,得出在标况下数值模拟结果精度较高。 4.根据以上的分析以及大量参考文献的查阅,提出了以压水室为研究对象的新的优化方法,且构造了以总效率值最高为目标的优化函数以及各未知参数的约束条件。利用遗传算法和Matlab软件寻优求解得到了优化后的压水室几何参数,进而对压水室模型进行修改并对整机离心泵进行非定常数值模拟。最终结果表明,优化后的离心泵在标况下总效率值提高了3.858%,实现了优化目标和节能要求。
[Abstract]:Since the reform and opening up, with the rapid development of the national economy, the energy industry has been greatly developed, China has gradually become a large country of energy production and consumption, machinery and equipment and technology, especially the technology of industrial pumps are constantly developing and improving. As a large country of energy production and consumption, energy and environment problems are becoming more and more serious. Low-carbon economy, energy saving and environmental protection have become the inevitable requirements of economic development. At present, the demand for centrifugal pumps, which account for a large proportion of industrial pumps, is increasingly demanding in all fields. The application of CFD technology has made people save a lot of time and economic costs in the process of developing and optimizing centrifugal pumps, and effectively improve the production capacity of the projects. At the same time, to some extent, energy and environment problems have been solved, the application technology has become an important research and development direction in the new century. The main work and results of this paper are as follows: 1. Based on a large number of references, the development of computational fluid dynamics (CFD), CFD numerical simulation of centrifugal pumps and the development of optimization methods of centrifugal pumps are reviewed in detail. The numerical simulation method and turbulence model for the flow field in CQB65-50-160F centrifugal pump are also selected. 2. Three dimensional modeling software Pro/e was used to model the flow field in CQB65-50-160F centrifugal pump. The Fluent pre-processing software Gambit was used to mesh the model. 3. According to the selected solution method, turbulence model and actual working conditions, the Fluent software is set up, and the unsteady numerical simulation of centrifugal pump is completed. On the basis of comparing the friction loss formula of disk and volume loss formula in various literatures, the loss formula suitable for the centrifugal pump in this paper is determined, and the values of lift, shaft power and efficiency under various working conditions are obtained by modifying the numerical simulation results. According to the comparison between the performance parameters and the experimental data, the flow field of the centrifugal pump under different working conditions is analyzed, and the accuracy of the numerical simulation results under the standard condition is higher than that of the experimental data. 4. Based on the above analysis and a large number of references, a new optimization method is proposed, which takes the water pressure chamber as the research object, and the optimization function with the highest total efficiency as the objective and the constraint conditions of the unknown parameters are constructed. The optimized geometric parameters of the pressurized water chamber are obtained by using genetic algorithm and Matlab software. The model of the chamber is modified and the unsteady numerical simulation of the centrifugal pump is carried out. The final results show that the total efficiency of the optimized centrifugal pump is increased by 3.858 in the standard condition, and the optimization goal and the energy saving requirement are achieved.
【学位授予单位】:浙江工业大学
【学位级别】:硕士
【学位授予年份】:2012
【分类号】:TH311

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