摘要
Particle Image Velocimetry (PIV) technology was used to study the unsteady internal flow in a double-blade centrifugal pump (DBCP) impeller at the design flow rate.Relative velocity distributions and turbulence intensity distributions in the DBCP impeller at six phase conditions were obtained.And mean dimensionless relative velocity,turbulence intensity,mean absolute flow angle,mean relative flow angle,mean dynamic pressure and mean angular momentum distributions at the different radii of impeller were calculated.Results show that from impeller inlet to impeller outlet,turbulence intensities gradually decrease.With the increase of radius r,mean dimensionless relative velocity first decreases and then increases,while variation tendencies of mean absolute flow angle and mean dynamic pressure are the opposite.With the increase of radius r,turbulence intensity and mean relative flow angle first decrease,then increase,and then decrease,while mean angular momentum gradually increases.
Particle Image Velocimetry （PIV） technology was used to study the unsteady internal flow in a double-blade centrifugal pump （DBCP） impeller at the design flow rate.Relative velocity distributions and turbulence intensity distributions in the DBCP impeller at six phase conditions were obtained.And mean dimensionless relative velocity,turbulence intensity,mean absolute flow angle,mean relative flow angle,mean dynamic pressure and mean angular momentum distributions at the different radii of impeller were calculated.Results show that from impeller inlet to impeller outlet,turbulence intensities gradually decrease.With the increase of radius r,mean dimensionless relative velocity first decreases and then increases,while variation tendencies of mean absolute flow angle and mean dynamic pressure are the opposite.With the increase of radius r,turbulence intensity and mean relative flow angle first decrease,then increase,and then decrease,while mean angular momentum gradually increases.
基金
supported by the National Natural Science Foundation of China (Grant Nos. 51079062,51179075,51109095,51239005,and51209105)
the National Science & Technology Pillar Program of China(Grant Nos. 2011BAF14B03 and 2013BAK06B02)
the Natural ScienceFund of Jiangsu Province of China (Grant No. BY2011140)
Science and Technology Support Program of Jiangsu Province of China (Grant Nos.BE2012129 and BE2012131)
the Priority Academic Program Development of Jiangsu Higher Education Institutions and Senior Professional Scientific Research Project of Jiangsu University of China (Grant No.12JDG045)
supported from the Priority Research Centers Program (2012-048078) through the National Research Foundation of the Republic of Korea
