排灌机械工程学报2025，Vol.43Issue(6)：572-579,8.DOI:10.3969/j.issn.1674-8530.23.0148
基于量纲分析下浮筒网式旋转过滤器的水头损失预测模型
Head loss prediction model of pontoon mesh rotary filter based on dimensional analysis
摘要
Abstract
Head loss is a key index to evaluate the hydraulic performance of a filter.By taking the pre-pump mesh filter-float pontoon mesh rotary filter as the research object,physical model tests were carried out at 15 sets of flow rates(768-1 068 L/h)and three apertures of filter screen(0.180,0.150,0.125 mm)under clear water conditions,and the results of the physical tests were analyzed using analysis of variance,dimensional analysis,and multiple linear regression analysis.The results show that the flow rate has a significant effect on the head loss of pontoon mesh rotary fil-ter,the effect of screen aperture of screen is not significant,and the head loss rises with the flow rate.A prediction model for the head loss of the pontoon mesh rotary filter under the condition of clear water is established,with a coefficient of determination of R2 of 0.978 and a root-mean-square error of RMSE of 0.047 1.It has been empirically verified that the maximum relative error of the predicted value is 2.292%,the minimum relative error is 0.264%,and the average relative error is 1.33%,which indicates that the model can accurately predict the head loss of the pontoon mesh rotary filter under clear water conditions.The research results can provide a certain reference for the further opti-mization and application of the pontoon mesh rotary filter while enriching the hydraulic performance results of the pre-pump filter.关键词
微灌系统/泵前过滤器/水头损失/量纲分析/多元线性回归Key words
micro-irrigation system/pre-pump filter/head loss/dimensional analysis/multiple linear regression分类
农业工程引用本文复制引用
陶洪飞,靳桢,喜炜,李巧,马合木江·艾合买提,姜有为,杨文新,魏建群..基于量纲分析下浮筒网式旋转过滤器的水头损失预测模型[J].排灌机械工程学报,2025,43(6):572-579,8.基金项目
国家自然科学基金资助项目(52369013) （52369013）
昌吉州"两区"科技发展计划——科技成果转化示范项目(2023LQG08) （2023LQG08）
新疆维吾尔自治区重大科技专项项目(2022A02003-4) （2022A02003-4）
新疆维吾尔自治区创新环境(人才、基地)建设专项——"天山青年计划项目"(2019Q075) （人才、基地）
"天山英才"培养计划"三农"骨干人才培养项目(2024SNGGGCC017) （2024SNGGGCC017）
