摘要
为了提高离心泵效率,建立了以损失极值为目标的优化模型.运用Matlab遗传算法优化工具箱对模型各参数进行全局寻优得到最佳的参数组合.通过泵各性能参数以及叶轮水力参数之间的相互制约设定约束条件.针对IS200/400-75/4泵进行优化,并且用Fluent软件进行整台泵流场的模拟对其性能预估.对优化前后的叶轮在设计工况下的流场进行了分析对比,得到离心泵扬程比优化前提高了3.85m,效率提高了2.9%.
In order to improve the efficiency of the centrifugal pump,its optimization model with the extreme loss as its objective is established in the article.Using Matlab optimization toolbox with genetic algorithm,the global optimization of several model parameters is carried out to get optimal combination of parameters.The constraint conditions are set up by means of mutual restriction between pump performance parameter and impeller hydraulic parameter.The pump IS200/400-75/4 is optimized and its overall flow field is simulated by using software Fluent to estimate its performance.The impeller flow field before and after its optimization under design condition is analyzed and compared and it is achieved that the centrifugal pump head is 3.85 mhigher than that before optimization and its efficiency is increased by 2.9%.
作者
赵伟国
王丹
刘在伦
ZHAO Wei-guo WANG Dan LIU Zai-lun(College of Energy and Power Engineering, Lanzhou Univ. of Teeh. , Lanzhou 730050, China Key Laboratory of Fluid Machinery and Systems of Gansu Province, Lanzhou Univ. of Tech. , Lanzbou 730050, China)
出处
《兰州理工大学学报》
CAS
北大核心
2017年第5期56-59,共4页
Journal of Lanzhou University of Technology
基金
国家自然科学基金(51269011)
甘肃省高等学校基本科研项目
关键词
离心泵
叶轮
优化设计
遗传算法
centrifugal pump
impeller
optimization design
genetic algorithm
作者简介
赵伟国（1979-），男，山东东营人，博士，副教授．
