• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Advances in materials science and engineering >Multiobjective Optimization Design and Experimental Study of Desulfurization Dust Removal Centrifugal Pump Based on Immune Particle Swarm Algorithm
【24h】

Multiobjective Optimization Design and Experimental Study of Desulfurization Dust Removal Centrifugal Pump Based on Immune Particle Swarm Algorithm

机译：基于免疫粒子群算法的脱硫除尘离心泵多目标优化设计与试验研究

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In view of the problems of low efficiency, poor anticavitation performance, and curve hump for current centrifugal pump in the process of desulfurization and dust removal, the desulfurization dust removal centrifugal pump was designed. The velocity coefficient method was used for hydraulic design of centrifugal pump, and the three-dimensional modeling and numerical simulation of flow field of centrifugal pump were carried out by using computational fluid dynamics technology (CFD). The optimal mathematical model with the highest efficiency and the lowest pump net positive suction head as the objective function was established under the condition of no curve hump. The immune particle swarm optimization algorithm was used to optimize the multiobjective function, and the optimal combination of the main parameters was obtained. The simulation results showed that, compared with the traditional centrifugal pump, the performance of the optimized centrifugal pump had been greatly improved, which eliminated the phenomenon of curve hump. Based on IH model chemical pump to build a prototype test platform, the experimental results of the external characteristics of the prototype pump and the optimization pump under different working conditions were obtained. At the rated flow rate, the optimization pump efficiency was increased by 13.30%, the head was increased by 11.52%, and was decreased by 10.14%. The experimental results showed that the optimized indexes met the design requirements and improved the performance of centrifugal pump. At the same time, the accuracy of the immune particle swarm control method was verified, which provided some reference for the design of desulfurization dust removal centrifugal pump.
机译：针对目前的离心泵在脱硫除尘过程中效率低，抗气蚀性能差，弯曲驼峰的问题，设计了脱硫除尘离心泵。将速度系数法用于离心泵的水力设计，并使用计算流体力学技术（CFD）对离心泵的流场进行三维建模和数值模拟。在无曲线驼峰的条件下，建立了以效率最高，泵净正吸头最低为目标函数的最优数学模型。采用免疫粒子群算法对多目标函数进行优化，得到主要参数的最优组合。仿真结果表明，与传统的离心泵相比，优化后的离心泵的性能有了很大的提高，消除了曲线驼峰现象。基于IH模型化学泵，搭建样机测试平台，获得了样机泵和优化泵在不同工况下的外部特性实验结果。在额定流量下，优化泵效率提高了13.30％，扬程提高了11.52％，降低了10.14％。实验结果表明，优化指标满足设计要求，提高了离心泵的性能。同时，验证了免疫粒子群控制方法的准确性，为脱硫除尘离心泵的设计提供了参考。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号