Research on head loss of pre-pump micro-pressure filter under clean water conditions. Issue 3 (22nd November 2021)
- Record Type:
- Journal Article
- Title:
- Research on head loss of pre-pump micro-pressure filter under clean water conditions. Issue 3 (22nd November 2021)
- Main Title:
- Research on head loss of pre-pump micro-pressure filter under clean water conditions
- Authors:
- Tao, Hongfei
Shen, Pingping
Li, Qiao
Jiang, Youwei
Yang, Wenxin
Wei, Jianqun - Abstract:
- Abstract: Filters are important pieces of equipment to ensure the normal operation of micro-irrigation systems, and the head loss is a key indicator to evaluate their hydraulic performances. To reduce the head loss and energy consumption, a new type of filter for treating surface water – the pre-pump micro-pressure filter was proposed. The pre-pump micro-pressure filter was studied, and physical model tests on the flow rate, water separator type, and filter screen area were conducted under clean water conditions. Statistical and dimensional analysis methods were used to analyze the test results. Our results showed that the order of the factors affecting the head loss of the filter was flow rate > water separator type > filter screen area. The various water separator types showed no significant differences in terms of head loss, while the different flow rates showed significant differences. A head loss prediction model was constructed, and the coefficient of determination R 2 reached 0.987. Our results can provide technical support for new filter development and enrich the theory of micro-pressure filtration. HIGHLIGHTS: The predicted head loss of pre-pump micro-pressure filter has a high regression coefficient. The average relative error of the predicted value is 6.07%, which shows that the calculation equation is an ideal head loss prediction model. The order of the factors affecting the head loss of the filter is as follows: flow rate > water separator type > filter screenAbstract: Filters are important pieces of equipment to ensure the normal operation of micro-irrigation systems, and the head loss is a key indicator to evaluate their hydraulic performances. To reduce the head loss and energy consumption, a new type of filter for treating surface water – the pre-pump micro-pressure filter was proposed. The pre-pump micro-pressure filter was studied, and physical model tests on the flow rate, water separator type, and filter screen area were conducted under clean water conditions. Statistical and dimensional analysis methods were used to analyze the test results. Our results showed that the order of the factors affecting the head loss of the filter was flow rate > water separator type > filter screen area. The various water separator types showed no significant differences in terms of head loss, while the different flow rates showed significant differences. A head loss prediction model was constructed, and the coefficient of determination R 2 reached 0.987. Our results can provide technical support for new filter development and enrich the theory of micro-pressure filtration. HIGHLIGHTS: The predicted head loss of pre-pump micro-pressure filter has a high regression coefficient. The average relative error of the predicted value is 6.07%, which shows that the calculation equation is an ideal head loss prediction model. The order of the factors affecting the head loss of the filter is as follows: flow rate > water separator type > filter screen area. … (more)
- Is Part Of:
- Water Supply. Volume 22:Issue 3(2022)
- Journal:
- Water Supply
- Issue:
- Volume 22:Issue 3(2022)
- Issue Display:
- Volume 22, Issue 3 (2022)
- Year:
- 2022
- Volume:
- 22
- Issue:
- 3
- Issue Sort Value:
- 2022-0022-0003-0000
- Page Start:
- 3271
- Page End:
- 3282
- Publication Date:
- 2021-11-22
- Subjects:
- dimensional analysis -- filter -- head loss -- micro-irrigation system -- multiple linear regression
- DOI:
- 10.2166/ws.2021.402 ↗
- Languages:
- English
- ISSNs:
- 1606-9749
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 24557.xml