LAPSE:2023.0120
Published Article
LAPSE:2023.0120
Research on Performance Optimization of Liquid Concentration Detection Systems Based on Turbulence Elimination
Zhiyang Li, Haizeng Liu, Chao Wang, Jianye Chen, Qingsong Zhang
February 17, 2023
Abstract
Liquid concentration detection systems have been widely used in food, chemical, pharmaceutical, and many other industries. When the liquid flows, a large number of vortices will usually be generated, resulting in increased turbulence intensity, which will interfere with the detection of the concentration of the suspension. In this paper, a method for concentration detection by differential pressure based on turbulence elimination is proposed to improve the reliability of concentration detection results. The changes in the internal flow field corresponding to different lengths of the turbulence elimination structure and different inlet angles are analyzed through numerical simulation. Finally, the influence of changes in structure parameters on the accuracy of concentration detection is tested through experiments. The results show that when the length of the turbulence elimination structure is small, the vortex zone inside the concentration detection device changes with the inlet velocity. When the length of the turbulence elimination structure is 150 mm, the vortex zone is basically not affected by the inlet velocity. The stability of the flow field increases with the increase in the inlet angle. When the inlet angle increases to 60°, a stable zone of turbulence will form in the region where Y > 0.4 m. When the length of the turbulence elimination structure is 150 mm and the inlet angle is 60°, the expected experimental results are obtained, and the actual needs of liquid concentration measurement are met.
Keywords
concentration detection, differential pressure, numerical simulation, optimal operating conditions, turbulence elimination structure
Suggested Citation
Li Z, Liu H, Wang C, Chen J, Zhang Q. Research on Performance Optimization of Liquid Concentration Detection Systems Based on Turbulence Elimination. (2023). LAPSE:2023.0120
Author Affiliations
Li Z: School of Materials Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China
Liu H: School of Materials Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China
Wang C: School of Materials Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China [ORCID]
Chen J: School of Materials Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China
Zhang Q: School of Materials Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China
Journal Name
Processes
Volume
11
Issue
1
First Page
85
Year
2022
Publication Date
2022-12-28
ISSN
2227-9717
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Original Submission
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PII: pr11010085, Publication Type: Journal Article
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LAPSE:2023.0120
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https://doi.org/10.3390/pr11010085
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