Characterisation of a micro-pressure filtration and cleaning system under sandy and brackish water conditions

IF 4.4 1区 农林科学 Q1 AGRICULTURAL ENGINEERING
Hongfei Tao , Qi Li , Zijing Wu , Mahemujiang Aihemaiti , Qiao Li , Youwei Jiang
{"title":"Characterisation of a micro-pressure filtration and cleaning system under sandy and brackish water conditions","authors":"Hongfei Tao ,&nbsp;Qi Li ,&nbsp;Zijing Wu ,&nbsp;Mahemujiang Aihemaiti ,&nbsp;Qiao Li ,&nbsp;Youwei Jiang","doi":"10.1016/j.biosystemseng.2024.05.006","DOIUrl":null,"url":null,"abstract":"<div><p>To investigate the hydraulic effects and performance of the micro-pressure filtration and cleaning tank under conditions with sandy and brackish water, physical model tests were conducted with five groups of flow rates (6–14 m³ h<sup>−1</sup>), four groups of sediment contents (0.5–2.0 g l<sup>−1</sup>), five groups of mineralisation degrees (0–5.0 g l<sup>−1</sup>), and three groups of screen apertures (0.125, 0.150, and 0.180 mm). Dimensional analysis, multiple linear regression analysis, and the non-dominated sorting genetic algorithm II (NSGA-II) were used to analyse the test results. The results showed that the optimal operating conditions of the micro-pressure filtration and cleaning tank under the scope of this test were a screen aperture of 0.175 mm, a flow rate of 13 m<sup>3</sup> h<sup>−1</sup>, a sediment content of 1.8 g l<sup>−1</sup>, and a mineralisation degree of 4.7 g l<sup>−1</sup>. The micro-pressure filtration and cleaning tank was intermittently discharged and rinsed, the discharge time was 30–40 s, and the flow rate of discharge and rinsing was 5.54 m<sup>3</sup> h<sup>−1</sup>. Prediction models of the head loss and the filtration efficiency of the filter were established. The coefficients of determination (R<sup>2</sup>) were greater than 0.9, the average relative errors of the predicted and measured values were 2.98% and 2.17%, respectively, and the corresponding root mean square errors were 0.0549 m and 0.642. The research results can be used as a reference for in-depth investigations on the performance of the micro-pressure filtration equipment in front of pumps.</p></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":null,"pages":null},"PeriodicalIF":4.4000,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosystems Engineering","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1537511024001156","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURAL ENGINEERING","Score":null,"Total":0}
引用次数: 0

Abstract

To investigate the hydraulic effects and performance of the micro-pressure filtration and cleaning tank under conditions with sandy and brackish water, physical model tests were conducted with five groups of flow rates (6–14 m³ h−1), four groups of sediment contents (0.5–2.0 g l−1), five groups of mineralisation degrees (0–5.0 g l−1), and three groups of screen apertures (0.125, 0.150, and 0.180 mm). Dimensional analysis, multiple linear regression analysis, and the non-dominated sorting genetic algorithm II (NSGA-II) were used to analyse the test results. The results showed that the optimal operating conditions of the micro-pressure filtration and cleaning tank under the scope of this test were a screen aperture of 0.175 mm, a flow rate of 13 m3 h−1, a sediment content of 1.8 g l−1, and a mineralisation degree of 4.7 g l−1. The micro-pressure filtration and cleaning tank was intermittently discharged and rinsed, the discharge time was 30–40 s, and the flow rate of discharge and rinsing was 5.54 m3 h−1. Prediction models of the head loss and the filtration efficiency of the filter were established. The coefficients of determination (R2) were greater than 0.9, the average relative errors of the predicted and measured values were 2.98% and 2.17%, respectively, and the corresponding root mean square errors were 0.0549 m and 0.642. The research results can be used as a reference for in-depth investigations on the performance of the micro-pressure filtration equipment in front of pumps.

沙水和苦咸水条件下的微压过滤和清洁系统特性分析
为研究微压过滤净化槽在沙水和咸水条件下的水力效应和性能,进行了五组流量(6-14 m³ h-1)、四组泥沙含量(0.5-2.0 g l-1)、五组矿化度(0-5.0 g l-1)和三组滤网孔径(0.125、0.150 和 0.180 mm)的物理模型试验。试验结果采用了维度分析、多元线性回归分析和非优势排序遗传算法 II (NSGA-II) 进行分析。结果表明,在本试验范围内,微压过滤净化槽的最佳运行条件为:滤网孔径为 0.175 毫米,流量为 13 立方米/小时-1,沉积物含量为 1.8 克/升-1,矿化度为 4.7 克/升-1。微压过滤和清洗槽间歇排放和冲洗,排放时间为 30-40 s,排放和冲洗流量为 5.54 m3 h-1。建立了过滤器水头损失和过滤效率的预测模型。确定系数(R2)大于 0.9,预测值和测量值的平均相对误差分别为 2.98% 和 2.17%,相应的均方根误差分别为 0.0549 m 和 0.642。研究结果可作为深入研究泵前微压过滤设备性能的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Biosystems Engineering
Biosystems Engineering 农林科学-农业工程
CiteScore
10.60
自引率
7.80%
发文量
239
审稿时长
53 days
期刊介绍: Biosystems Engineering publishes research in engineering and the physical sciences that represent advances in understanding or modelling of the performance of biological systems for sustainable developments in land use and the environment, agriculture and amenity, bioproduction processes and the food chain. The subject matter of the journal reflects the wide range and interdisciplinary nature of research in engineering for biological systems.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信