灌溉排水学报2024，Vol.43Issue(5)：30-37,78,9.DOI:10.13522/j.cnki.ggps.2023480
基于PPR和NSGA-Ⅱ的泵前微压过滤器水力与过滤性能研究
Efficiency and hydraulic performance of the micro-pressure filter in front of the pump studied using PPR and NSGA-II
摘要
Abstract
[Objective]Pump often has a filter installed in the front of it to filter sediments and debris.This paper studied its efficiency and performance.[Method]The study was based on physical model,with flow rate being 2-8 m3/h,sediment content being 0.5-2.0 g/L.The area of the filter varied from 1 105 to 2 060 cm2,and water separator type was Type 1,Type 2,Type 3.Without a separator was the control.A prediction model was used to evaluate sediment interception and total filtration efficiency.Based on these measurements,we determined the optimal operating conditions for the pump.[Result]The factors that influenced water head loss across the filter were ranked in the order of inlet flow＞sediment content＞filter area;the factors that affected the quality of sediment interception were ranked in the order of sediment content＞filter area＞inlet flow;the factors impacting the total filtration efficiency were ranked in the order of filter area＞sediment content＞inlet flow.The accuracy of the PPR model for predicting sediment interception quality and total filtration efficiency was 100%,with a relative error less than 10%,while its accuracy for predicting water head loss across the filter was 70%,which needs further improvement.The optimal operating conditions for the filter were sand content 2 g/L,inlet water flow rate 7 m3/h,and filter area 2 060 cm2.[Conclusion]The PPR prediction model was accurate for sediment interception and total filtration efficiency,but it resulted in errors for calculating water head loss across the filter.Dimensional analysis and multiple regression can be used as an alternative to predict the water head loss.关键词
过滤器/水头损失/模型/水力性能/过滤性能Key words
filter/head loss/model/hydraulic performance/filtration performance分类
农业科技引用本文复制引用
陶洪飞,李琦,周洋,马合木江·艾合买提,李巧,姜有为..基于PPR和NSGA-Ⅱ的泵前微压过滤器水力与过滤性能研究[J].灌溉排水学报,2024,43(5):30-37,78,9.基金项目
国家自然科学基金项目(52369013) （52369013）
