排灌机械工程学报2016，Vol.34Issue(7)：567-572,583,7.DOI:10.3969/j.issn.1674-8530.15.0121
基于 PIV的低比转数离心泵网格无关性
Grid-independence in low specific speed centrifugal pump based on PIV
摘要
Abstract
In general , the flow in centrifugal pumps are exceedingly complex , especially under part-load condition in which rotation stall , flow separation and secondary flow are involved .The accuracy of CFD simulation of internal flow in a centrifugal pump under part-load condition is very important . However , this issue is rarely mentioned in literature .In this paper , a structured mesh in a low specific speed centrifugal pump is generated and the turbulent flow in the pump including suction pipe , impel-ler and volute is simulated by means of software ANSYS CFX 14.5.A grid-independence check is con-ducted when total number of cells and the number of cells in the impeller fluid domain are changed at 0.6 and 1.0 times the design flow rate .The head and absolute velocities in the impeller and volute ob-tained by PIV are adopted as more reasonable indexes to evaluate the CFD accuracy .It is shown that the grid-independence analysis can be performed satisfactorily by increasing total number of grid cells , but increasing the number of mesh cells of the impeller fluid domain is unnecessary .The number of grid cells has a great effect on the absolute velocity of fluid in the impeller , but a little impact on the absolute velocity in the volute .The accuracy of predicted absolute velocity in the volute and impeller under the design condition is higher than that at 0.6Qd .Comparisons in flow field and performance curve suggest the mesh model should be IGD eventually .These results will be helpful to the study on unstable cha-racteristics of internal flow in a low specific speed centrifugal pump under part-load condi-tion by making use of numerical simulation technique .关键词
离心泵/网格无关性/小流量/PIV/数值模拟Key words
centrifugal pump/grid independence/part load condition/PIV/numerical simulation分类
农业科技引用本文复制引用
张金凤,黄茜,袁寿其,冒杰云,王业芳..基于 PIV的低比转数离心泵网格无关性[J].排灌机械工程学报,2016,34(7):567-572,583,7.基金项目
国家自然科学基金资助项目（51009072）；江苏高校优势学科建设工程项目 （）
